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interactive control deck,https://github.com/alvaro-budria/VirtuWheel,"[""Jaume Ros Alonso""]","[""2nd place overall""]","[""2nd place overall""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:2,2,VirtuWheel,"[""https://github.com/alvaro-budria/VirtuWheel""]",1,"[{""input_url"": ""https://github.com/alvaro-budria/VirtuWheel"", ""owner"": ""alvaro-budria"", ""repo_name"": ""VirtuWheel"", ""repo"": ""VirtuWheel"", ""name_with_owner"": ""alvaro-budria/VirtuWheel"", ""url"": ""https://github.com/alvaro-budria/VirtuWheel"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T00:48:41Z"", ""updated_at"": ""2025-05-29T15:32:05Z"", ""pushed_at"": ""2023-12-05T14:30:18Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 5418}], ""license_spdx"": ""Apache-2.0"", ""license_name"": ""Apache License 2.0"", ""commit_count_default_branch"": 11, ""first_commit_date_default_branch"": ""2023-12-03T00:48:42Z"", ""last_commit_date_default_branch"": ""2023-12-05T14:30:18Z"", ""last_commit_oid_default_branch"": ""b2e311795f95cef39dcafb670655dcccf78ef790"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""Álvaro Budría"", ""contributions"": 6, ""html_url"": null}, {""login"": ""alvaro-budria"", ""contributions"": 5, ""html_url"": ""https://github.com/alvaro-budria""}], ""readme_title"": ""VirtuWheel"", ""readme_text"": ""# VirtuWheel\n### A 3D Driving Simulator with Body Pose Control\n\n\nVirtuWheel is a 3D driving simulator that offers a unique experience by allowing users to control the steering wheel using their body pose. In contrast to traditional simulators that require specific hardware like a physical steering wheel and gear shift, our system only needs a regular laptop and a budget camera, and an optional Logitech command board for enhanced controllability. The simulator immerses users in a realistic real-world environment, enhancing the driving experience while making it more accessible.\n\n![](./assets/img.png)\n\n![](./assets/demo2.gif)\n\n![](./assets/demo.gif)\n\n\n## Features\n* Body Pose Control: Users can control the steering wheel through their body pose.\n\n* Integrated command board: It is possible to integrate a Logitech board into the system, allowing for additional actions like taking screenshots, changing the car speed, and changing the direction (forward/backward).\n\n* Realistic Environment: The simulator provides a real-world driving experience with realistic scenery.\n\n* Minimal Requirements: Only a regular laptop and a budget camera are required, making it accessible to a wide audience.\n\n\n## Installation\n\n\n### Python Real-time Pose Detector\nClone the repository and install the required dependencies:\n\n`pip install opencv-python numpy>=1.24.0 mediapipe`\n\nWe changed some parameters that are hardcoded in Mediapipe's code base. Go to `solutions/drawing_utils.py` in Mediapipe's library (typically at `~/anaconda3/lib/python/site-packages/mediapipe/python/solutions/drawing_utils.py`), and set\n\n```\n_PRESENCE_THRESHOLD = 0.05\n_VISIBILITY_THRESHOLD = 0.1\n```\n\nat the beginning of the file.\n\nThen download the required model files (in a .zip) from [this Google Drive folder](https://drive.google.com/drive/folders/1USEdy_7uvwO4PIqsQJq8kT0sX4H4f7nn) and put the unzipped folder `OpenPose_models` under the home directory of the project.\n\n\n### Unity 3D Environment\n\nDownload the 3D Unity environment from [this Google Drive folder](https://drive.google.com/drive/folders/1K-5VAzCNx5bGB1IafuC4UzgDrgbZ6NQs?usp=drive_link). Put it in the project home directory.\nRefer to the Unity [official manual](https://docs.unity3d.com/Manual/) for installation instructions.\n\n\n## Usage\n\nFirst execute the Python pose detection backend and leave it running on a separate terminal.\n\n`python obtain_angle.py`\n\nThen run the project on Unity in game mode. Open the environment from Unity and play it as is.\n\nFinally, enjoy.\n\n\n\n## Authors\n\n- **Malika Utailineyeva**. Developed the main Unity app and integrated the different components.\n\n- **Jaume Ros**. Created the real-world Lausanne 3D environment.\n\n- **Valentin Schepotev**. Programmed the Logitech command board and integrated it into the system.\n\n- **Alvaro Budria**. Implemented the body pose detector and the steering wheel algorithm."", ""readme_length"": 2890, ""files_root_entries"": [{""path"": ""LICENSE"", ""type"": ""file"", ""size"": 11357}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2891}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""obtain_angle.py"", ""type"": ""file"", ""size"": 5418}], ""files_total_count"": 6, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +3,It’s not about winning,"""It’s not about winning"" is a cutting-edge app designed to transform disputes into cooperative and goal-oriented conversations. By analyzing conflicts in real-time through audio files, it detects emotions and offers personalized communication advice. The app encourages effective... (hover for more)",https://fastmaildassdas.retool.com/apps/92b21760-913f-11ee-9609-8b7decaf40c8/Conflict%20Resolution,"[""Indira Fömmel"", ""Leonard Eyer"", ""Gero Embser""]","[""3rd place overall"", ""AXA challenge winner""]","[""3rd place overall"", ""AXA challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:3,3,It’s not about winning,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +4,BMS detction HCM,model learning and qualtitative feedback diagnostic,https://github.com/Gabriel29062001/hackathon,"[""Eddy BESSAH"", ""gabriel paffi"", ""Grégoire Longechamp""]","[""Organizers' prize"", ""BMS challenge winner""]","[""Organizers' prize"", ""BMS challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:4,4,BMS detction HCM,"[""https://github.com/Gabriel29062001/hackathon""]",1,"[{""input_url"": ""https://github.com/Gabriel29062001/hackathon"", ""owner"": ""Gabriel29062001"", ""repo_name"": ""hackathon"", ""repo"": ""hackathon"", ""name_with_owner"": ""Gabriel29062001/hackathon"", ""url"": ""https://github.com/Gabriel29062001/hackathon"", ""description"": ""BMS challenge"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T17:12:02Z"", ""updated_at"": ""2023-12-03T10:37:09Z"", ""pushed_at"": ""2025-11-01T10:35:36Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 1763306}, {""language"": ""Python"", ""size"": 154040}, {""language"": ""Jupyter Notebook"", ""size"": 24604}, {""language"": ""HTML"", ""size"": 1832}, {""language"": ""Shell"", ""size"": 969}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 9, ""first_commit_date_default_branch"": ""2023-12-02T17:12:02Z"", ""last_commit_date_default_branch"": ""2023-12-04T16:41:58Z"", ""last_commit_oid_default_branch"": ""3bce3317bd069bbf1d09755091048ef46a7117b7"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""grelgp"", ""contributions"": 6, ""html_url"": ""https://github.com/grelgp""}, {""login"": ""Gabriel29062001"", ""contributions"": 3, ""html_url"": ""https://github.com/Gabriel29062001""}], ""readme_title"": ""Lauzhack 2023"", ""readme_text"": ""# Lauzhack 2023\n\nHere you can find our codebase for the EPFL hackaton Lauzhack 2023.\n\nIt includes:\n- A web app developed on Flutter\n- A customized python project (forked from [ecg_ptbxl_benchmarking repository](https://github.com/helme/ecg_ptbxl_benchmarking))\n- An API developed in Django"", ""readme_length"": 289, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 298}, {""path"": ""django_api"", ""type"": ""dir"", ""size"": 0}, {""path"": ""ecg_prediction"", ""type"": ""dir"", ""size"": 0}, {""path"": ""flutter_app"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 136, ""dirs_total_count"": 33, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +5,AWS Challenge,Our take on obtaining useful and compact information from the reviews (participation on AWS challenge).,https://github.com/mgil4/AWS_LAUZ,"[""Álvaro Domingo Reguero"", ""Gustavo Vergara Gamboa"", ""Lola Monroy Mir"", ""Maria Gil""]","[""AWS challenge winner""]","[""AWS challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:5,5,AWS Challenge,"[""https://github.com/mgil4/AWS_LAUZ""]",1,"[{""input_url"": ""https://github.com/mgil4/AWS_LAUZ"", ""owner"": ""mgil4"", ""repo_name"": ""AWS_LAUZ"", ""repo"": ""AWS_LAUZ"", ""name_with_owner"": ""mgil4/AWS_LAUZ"", ""url"": ""https://github.com/mgil4/AWS_LAUZ"", ""description"": ""Project for the Amazon Web Services challenge during LauzHack 2023. "", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2023-12-02T13:08:04Z"", ""updated_at"": ""2024-06-05T14:29:31Z"", ""pushed_at"": ""2023-12-03T10:59:34Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 417449}, {""language"": ""Python"", ""size"": 3690}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 32, ""first_commit_date_default_branch"": ""2023-12-02T13:34:44Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:59:25Z"", ""last_commit_oid_default_branch"": ""1f1fe71792ceecd7483482aca9d4769069594152"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""alvarodr21"", ""contributions"": 14, ""html_url"": ""https://github.com/alvarodr21""}, {""login"": ""lola-monroy"", ""contributions"": 11, ""html_url"": ""https://github.com/lola-monroy""}, {""login"": ""Gustavove"", ""contributions"": 7, ""html_url"": ""https://github.com/Gustavove""}], ""readme_title"": ""AWS_LAUZ"", ""readme_text"": ""# AWS_LAUZ\nProject for the Amazon Web Services challenge during LauzHack 2023."", ""readme_length"": 78, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 28}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 82}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""explore - copia.ipynb"", ""type"": ""file"", ""size"": 402223}, {""path"": ""filtered_df.csv"", ""type"": ""file"", ""size"": 46482983}, {""path"": ""frontend"", ""type"": ""dir"", 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Steduto""]","[""Swissquote challenge winner""]","[""Swissquote challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:7,7,Swissstuff,"[""https://github.com/PetarSt98/LauzHack_Swissquote""]",1,"[{""input_url"": ""https://github.com/PetarSt98/LauzHack_Swissquote"", ""owner"": ""PetarSt98"", ""repo_name"": ""LauzHack_Swissquote"", ""repo"": ""LauzHack_Swissquote"", ""name_with_owner"": ""PetarSt98/LauzHack_Swissquote"", ""url"": ""https://github.com/PetarSt98/LauzHack_Swissquote"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2023-12-02T23:45:07Z"", ""updated_at"": ""2023-12-03T10:22:50Z"", ""pushed_at"": ""2023-12-03T10:32:24Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 23830}, {""language"": 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""readme_text"": null, ""readme_length"": null, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 4}, {""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Database.csv"", ""type"": ""file"", ""size"": 510}, {""path"": ""Dockerfile"", ""type"": ""file"", ""size"": 513}, {""path"": ""datasets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 277}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""lauzhack-cce5e-firebase-adminsdk-omls8-239f3c856f.json"", ""type"": ""file"", ""size"": 2382}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 18320}, {""path"": ""notification_data.json"", ""type"": ""file"", ""size"": 5141}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 2899}], ""files_total_count"": 69, ""dirs_total_count"": 11, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +8,Hey I Assistant,"Your guide to financial horizons, integrating AI intelligence seamlessly with Swissquote",https://github.com/niacdoial/lauzhack2023,"[""Gavrilo Vojteski"", ""liam marsh"", ""SM Mushtaq Bokhari"", ""Tanguy Vansnick""]","[""Swissquote challenge winner""]","[""Swissquote challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:8,8,Hey I Assistant,"[""https://github.com/niacdoial/lauzhack2023""]",1,"[{""input_url"": ""https://github.com/niacdoial/lauzhack2023"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'niacdoial/lauzhack2023'.\""}]"", ""owner"": ""niacdoial"", ""repo"": ""lauzhack2023""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +9,Speaker Notes,"Automatically transcribe the audio and annotate each slide of a presentation with the speaker's commentary summarized in the from of note, from any type of recordings of the presentation (mp4 file format), as well as the pdf of the presentation.",https://github.com/wesleymth/LauzHack2023-AutoNote.git,"[""Camille Challier"", ""David Friou"", ""Marianne Scoglio"", ""Wesley Monteith""]","[""AXA challenge winner""]","[""AXA challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:9,9,Speaker Notes,"[""https://github.com/wesleymth/LauzHack2023-AutoNote""]",1,"[{""input_url"": ""https://github.com/wesleymth/LauzHack2023-AutoNote"", ""owner"": ""wesleymth"", ""repo_name"": ""LauzHack2023-SpeakerNotes"", ""repo"": ""LauzHack2023-AutoNote"", ""name_with_owner"": ""wesleymth/LauzHack2023-SpeakerNotes"", ""url"": ""https://github.com/wesleymth/LauzHack2023-SpeakerNotes"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-05-14T20:39:18Z"", ""updated_at"": ""2023-12-04T17:08:53Z"", ""pushed_at"": ""2024-02-21T16:13:50Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 1367647}, {""language"": ""Python"", ""size"": 48411}, {""language"": ""Dockerfile"", ""size"": 729}, 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""contributions"": 4, ""html_url"": null}], ""readme_title"": ""speaker-notes"", ""readme_text"": ""# speaker-notes\n\nAutomatically transcribe the audio and annotate each slide of a presentation with the speaker's commentary, from zoom recordings of the presentation (mp4 file format), as well as the pdf of the presentation.\n\n```\nconda create --name lauz python=3.11.5\nconda activate lauz\npip install PyPDF2\npip install moviepy\npip install matplotlib, scipy\npip install torch torchvision torchaudio\npip install 'transformers[torch]'\npip install pdfminer\npip3 install pdfminer-six\npip install pytesseract\npip install openai==0.28\n# Check if transformers download worked\npython -c \""from transformers import pipeline; print(pipeline('sentiment-analysis')('we love you'))\""\n```\n\n\n# Docker\n```\ndocker build -t lauzhack2023/speaker-notes:0.1.0 .\ndocker run -it -d --name speaker_notes_container -v $(pwd):/app lauzhack2023/speaker-notes:0.1.0 /bin/bash\ndocker exec -it speaker_notes_container /bin/bash\npython audio_transcribe_scene_detect.py # How to run a file\n```"", ""readme_length"": 960, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3151}, {""path"": ""Dockerfile"", ""type"": ""file"", ""size"": 729}, {""path"": ""GTP.ipynb"", ""type"": ""file"", ""size"": 889520}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 961}, {""path"": ""audio_transcribe_scene_detect.py"", ""type"": ""file"", ""size"": 4628}, {""path"": ""create_summary.py"", ""type"": ""file"", ""size"": 3251}, {""path"": ""draft_audio_transcribe_scene_detect.ipynb"", ""type"": ""file"", ""size"": 24150}, {""path"": ""generate_rectangle.py"", ""type"": ""file"", ""size"": 6833}, {""path"": ""gtp_summary.py"", ""type"": ""file"", ""size"": 4015}, {""path"": ""line_brak.ipynb"", ""type"": ""file"", ""size"": 1816}, {""path"": ""maxrect.ipynb"", ""type"": ""file"", ""size"": 5587}, {""path"": ""old"", ""type"": ""dir"", ""size"": 0}, 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winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:10,10,EPFL Polling,"[""https://github.com/alexball970/LauzHack2023""]",1,"[{""input_url"": ""https://github.com/alexball970/LauzHack2023"", ""owner"": ""alexball970"", ""repo_name"": ""LauzHack2023"", ""repo"": ""LauzHack2023"", ""name_with_owner"": ""alexball970/LauzHack2023"", ""url"": ""https://github.com/alexball970/LauzHack2023"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T12:26:59Z"", ""updated_at"": ""2023-12-03T11:03:11Z"", ""pushed_at"": ""2023-12-08T19:38:39Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 313651}, {""language"": ""Swift"", ""size"": 92540}, {""language"": ""JavaScript"", ""size"": 3335}, {""language"": ""Ruby"", ""size"": 242}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 42, ""first_commit_date_default_branch"": ""2023-12-02T12:26:59Z"", ""last_commit_date_default_branch"": ""2023-12-08T19:38:39Z"", ""last_commit_oid_default_branch"": ""48b145fe0aca9e947f163a44464ee1ca4daca431"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""achillet3"", ""contributions"": 25, ""html_url"": ""https://github.com/achillet3""}, {""login"": ""alexball970"", ""contributions"": 14, ""html_url"": ""https://github.com/alexball970""}, {""login"": ""jvmcoquet"", ""contributions"": 3, ""html_url"": ""https://github.com/jvmcoquet""}], ""readme_title"": ""EPFL Polling 🚀"", ""readme_text"": ""# EPFL Polling 🚀\n\n## Goal 🎯\n1. Conduct a poll to gather questions for central services (VPT / Presidency).\n - Develop a user-friendly voting platform.\n2. Create a project list based on participants' affirmative responses, including available time commitments.\n - Implement a voting platform.\n - Motivate students to engage actively.\n3. 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stations to which they can take their own car. Creates a low-barrier of entry for classical car users.,https://git.rack.farm/hackathons/lauzhack-2023,"[""Mario Kunz""]","[""SBB challenge winner""]","[""SBB challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:13,13,Intermodal Transport Solutions,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +14,Lauzcom Assistant,"A genius customised GPT-powered chatbot that can extract Swisscom's juiciest secrets faster than you can say ""chocolate fondue"" at a Swiss ski lodge.",https://github.com/cern-lauzhack-2023/Lauzcom-Assistant,"[""Carmen Marcos Sánchez de la Blanca"", ""Daan Rosendal""]","[""Swisscom challenge winner""]","[""Swisscom challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:14,14,Lauzcom Assistant,"[""https://github.com/cern-lauzhack-2023/Lauzcom-Assistant""]",1,"[{""input_url"": ""https://github.com/cern-lauzhack-2023/Lauzcom-Assistant"", ""owner"": ""cern-lauzhack-2023"", ""repo_name"": ""lauzcom-assistant"", ""repo"": ""Lauzcom-Assistant"", ""name_with_owner"": ""cern-lauzhack-2023/lauzcom-assistant"", ""url"": ""https://github.com/cern-lauzhack-2023/lauzcom-assistant"", ""description"": ""A genius customisable GPT-powered chatbot that can extract Swisscom's juiciest secrets faster than you can say \""chocolate fondue\"" at a Swiss ski lodge. "", ""homepage_url"": """", ""topics"": [""ai"", ""gpt"", ""natural-language-processing"", ""python"", ""react"", ""web-app"", ""lauzhack2023""], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T20:07:56Z"", ""updated_at"": ""2023-12-04T20:53:22Z"", ""pushed_at"": ""2023-12-03T10:59:07Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 180999}, {""language"": ""TypeScript"", ""size"": 103333}, {""language"": ""CSS"", ""size"": 6780}, {""language"": ""JavaScript"", ""size"": 4109}, {""language"": ""Shell"", ""size"": 3282}, {""language"": ""Dockerfile"", ""size"": 1025}, {""language"": ""HTML"", ""size"": 428}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 12, ""first_commit_date_default_branch"": ""2023-12-02T20:09:44Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:59:07Z"", ""last_commit_oid_default_branch"": ""49c3426aca1959437b5cb94a97ab6000e10e9027"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""Daan Rosendal"", ""contributions"": 9, ""html_url"": null}, {""login"": ""Carmen Marcos"", ""contributions"": 3, ""html_url"": null}], ""readme_title"": ""Lauzcom Assistant"", ""readme_text"": ""# Lauzcom Assistant\n\nLauzcom Assistant is an interactive and user-friendly solution designed to provide seamless access to critical Swisscom data. By integrating powerful **GPT** models, customers can easily ask questions about public Swisscom data and receive accurate answers swiftly.\n\nSay goodbye to time-consuming manual searches, and let **Lauzcom Assistant** revolutionise your customer interactions.\n\n## Authors\n\nThe Lauzcom Assistant project is created by:\n\n- [Carmen Marcos](https://github.com/carmenmarcos00)\n- [Daan Rosendal](https://github.com/daanrosendal)\n\n## Table of contents\n\n- [Demo](#demo)\n- [Architecture](#architecture)\n- [Quick start](#quick-start)\n- [Development environment](#development-environment)\n - [Run Mongo and Redis](#run-mongo-and-redis)\n - [Run the backend](#run-the-backend)\n - [Run the frontend](#run-the-frontend)\n- [License](#license)\n\n## Demo\n\n[Demo video](https://www.youtube.com/watch?v=P4xqU10uZqA)\n\n## Architecture\n\n![Architecture](./docs/images/architecture.png)\n\n## Quick start\n\n> [!Note]\n> Make sure you have [Docker](https://docs.docker.com/engine/install/) installed\n\nOn macOS or Linux, run:\n\n```bash\n./setup.sh\n```\n\nIt installs all the dependencies and allows you to download a model locally or use OpenAI. LauzHack Assistant now runs at http://localhost:5173.\n\nOtherwise, follow these steps:\n\n1. Download and open this repository with `git clone git@github.com:cern-lauzhack-2023/Lauzcom-Assistant.git`.\n2. Create a `.env` file in your root directory and set the env variable `API_KEY` with your [OpenAI API key](https://platform.openai.com/account/api-keys) and `VITE_API_STREAMING` to true or false, depending on whether you want streaming answers or not.\n\n ```bash\n API_KEY=\n VITE_API_STREAMING=true\n ```\n\n See optional environment variables in the [/.env-template](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/blob/main/.env-template) and [/application/.env_sample](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/blob/main/application/.env_sample) files.\n\n3. Run [./run-with-docker-compose.sh](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/blob/main/run-with-docker-compose.sh).\n4. LauzHack Assistant now runs at http://localhost:5173.\n\nTo stop, press `Ctrl + C`.\n\n## Development environment\n\n### Run Mongo and Redis\n\nFor development, only two containers are used from [docker-compose.yaml](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/blob/main/docker-compose.yaml) (by deleting all services except for Redis and Mongo). See file [docker-compose-dev.yaml](./docker-compose-dev.yaml).\n\nRun:\n\n```bash\ndocker compose -f docker-compose-dev.yaml build\ndocker compose -f docker-compose-dev.yaml up -d\n```\n\n### Run the backend\n\n> [!Note]\n> Make sure you have Python 3.10 or 3.11 installed.\n\n1. Export required environment variables or prepare a `.env` file in the `/application` folder.\n - Copy [.env_sample](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/blob/main/application/.env_sample) and create `.env` with your OpenAI API token for the `API_KEY` and `EMBEDDINGS_KEY` fields.\n\n(check out [`application/core/settings.py`](application/core/settings.py) if you want to see more config options.)\n\n2. (optional) Create a Python virtual environment:\n Follow the [Python official documentation](https://docs.python.org/3/tutorial/venv.html) for virtual environments.\n\n a) On Linux and macOS:\n\n ```bash\n python -m venv venv\n . venv/bin/activate\n ```\n\n b) On Windows:\n\n ```bash\n python -m venv venv\n venv/Scripts/activate\n ```\n\n3. Install dependencies for the backend:\n\n```bash\npip install -r application/requirements.txt\n```\n\n4. Run the app using:\n\n```bash\nflask --app application/app.py run --host=0.0.0.0 --port=7091\n```\n\nThe backend API now runs at http://localhost:7091.\n\n5. Start worker with:\n\n```bash\ncelery -A application.app.celery worker -l INFO\n```\n\n### Run the frontend\n\n> [!Note]\n> Make sure you have Node version 16 or higher.\n\n1. Navigate to the [/frontend](https://github.com/cern-lauzhack-2023/Lauzcom-Assistant/tree/main/frontend) folder.\n2. Install the required packages `husky` and `vite` (ignore if already installed).\n\n```bash\nnpm install husky -g\nnpm install vite -g\n```\n\n3. Install dependencies by running:\n\n```bash\nnpm install --include=dev\n```\n\n4. Run the app using:\n\n```bash\nnpm run dev\n```\n\nThe frontend now runs at http://localhost:5173.\n\n## License\n\nThe source code license is [MIT](https://opensource.org/license/mit/), as described in the [LICENSE](LICENSE) file.\n\nBuilt with [:bird: :link: LangChain](https://github.com/hwchase17/langchain)"", ""readme_length"": 4627, ""files_root_entries"": [{""path"": "".env-template"", ""type"": ""file"", ""size"": 209}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 2407}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1062}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 4628}, {""path"": ""application"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose-dev.yaml"", ""type"": ""file"", ""size"": 241}, {""path"": ""docker-compose-local.yaml"", ""type"": ""file"", ""size"": 459}, {""path"": ""docker-compose-mock.yaml"", ""type"": ""file"", ""size"": 375}, {""path"": ""docker-compose.yaml"", ""type"": ""file"", ""size"": 1404}, {""path"": ""docs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""mock-backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 61474}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 111}, {""path"": ""run-with-docker-compose.sh"", ""type"": ""file"", ""size"": 410}, {""path"": ""scripts"", ""type"": ""dir"", ""size"": 0}, {""path"": ""setup.sh"", ""type"": ""file"", ""size"": 2781}, {""path"": ""tests"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 21153, ""dirs_total_count"": 1975, ""has_tests"": true, ""has_docs"": true, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +15,SwisscomQuest: Unlock the Enigma of Swisscom Expertise,"Ask your Swisscom-related question in Italian, French, German, or English, and utilize our specially designed tool that provides answers and gathers information on a unique webpage. Enjoy!!!",https://github.com/JasserRouis/SwisscomQuest,"[""Mohamed Amir Braham"", ""ilyes Hammouda"", ""Jasser Rouis""]","[""Swisscom challenge winner""]","[""Swisscom challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:15,15,SwisscomQuest: Unlock the Enigma of Swisscom Expertise,"[""https://github.com/JasserRouis/SwisscomQuest""]",1,"[{""input_url"": ""https://github.com/JasserRouis/SwisscomQuest"", ""owner"": ""JasserRouis"", ""repo_name"": ""SwisscomQuest"", ""repo"": ""SwisscomQuest"", ""name_with_owner"": ""JasserRouis/SwisscomQuest"", ""url"": ""https://github.com/JasserRouis/SwisscomQuest"", ""description"": ""Ask your Swisscom-related question in Italian, French, German, or English, and utilize our specially designed tool that provides answers and gathers information on a unique webpage. 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Enjoy!!!\n\n## Requirements\n\n- Python 3\n- A OpenAI API account \n- A Starter Plan Pinecone account\n- Flask\n\n\n\nhttps://github.com/JasserRouis/SwisscomQuest/assets/16255509/986ccc9e-9374-49cc-aca7-7b50caf1f360"", ""readme_length"": 444, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 6148}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 30}, {""path"": ""Demo.mov"", ""type"": ""file"", ""size"": 28658497}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1070}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 446}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 371}, {""path"": ""database"", ""type"": ""dir"", ""size"": 0}, {""path"": ""env-example"", ""type"": ""file"", ""size"": 205}, {""path"": ""existing_file.html"", ""type"": ""file"", ""size"": 80946}, {""path"": ""help_functions.py"", ""type"": ""file"", ""size"": 3497}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 86360}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 2976}, {""path"": ""openai_api_key.txt"", ""type"": ""file"", ""size"": 52}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 400}, {""path"": ""templates"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 111, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +16,Project Mycelium,Mycelium addresses the problem of logistic bottlenecks by introducing a fleet of flexible autonomous robots capable of dynamically navigating diverse environments,https://github.com/Mycelium-Lauzhack2023,"[""Muhammad Aman Ahmad Tifli"", ""Dominic Wong""]","[""S2S challenge winner""]","[""S2S challenge winner""]",LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:16,16,Project Mycelium,"[""https://github.com/Mycelium-Lauzhack2023/WebUI"", ""https://github.com/Mycelium-Lauzhack2023/restapi"", ""https://github.com/Mycelium-Lauzhack2023/robot-simulator""]",3,"[{""input_url"": ""https://github.com/Mycelium-Lauzhack2023/WebUI"", ""owner"": ""Mycelium-Lauzhack2023"", ""repo_name"": ""WebUI"", ""repo"": ""WebUI"", ""name_with_owner"": ""Mycelium-Lauzhack2023/WebUI"", ""url"": ""https://github.com/Mycelium-Lauzhack2023/WebUI"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:13:57Z"", ""updated_at"": ""2023-12-03T04:25:58Z"", ""pushed_at"": ""2023-12-03T10:37:14Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Vue"", ""languages_top"": [{""language"": ""Vue"", ""size"": 6953}, {""language"": ""JavaScript"", ""size"": 702}, {""language"": ""HTML"", ""size"": 611}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 16, ""first_commit_date_default_branch"": ""2023-12-02T13:13:57Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:37:11Z"", ""last_commit_oid_default_branch"": ""f5fbcbfbbe46bf35c976cfddc3cfafe3ea67e78b"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""AmanTifli"", ""contributions"": 16, ""html_url"": ""https://github.com/AmanTifli""}], ""readme_title"": ""Mycelium WebUi"", ""readme_text"": ""# Mycelium WebUi\n\n# Description\nProject Mycelium Frontend is a Vue.js-based user interface designed to\nseamlessly interact with our autonomous mobile robot fleet. This intuitive web\napplication empowers users to effortlessly assign zones for AGVs (Automated\nGuided Vehicles) to navigate, while providing real-time visibility into the\nsolution returned by the advanced path planner.\n\n# Key Features\n- Zone Assignment: Easily define target zones for AGVs to navigate within various environments.\n- Real-time Visualization: Instantly visualize the solution generated by the path planner for optimized navigation.\n- Mobile Compatibility: Accessible on a range of devices, including iPads and smartphones, for on-the-go logistics management.\n\n# Getting Started\n- Clone the repository: git clone https://github.com/Mycelium-Lauzhack2023/WebUI\n- Install dependencies: npm install\n- Start the development server: npm run serve\n- Open the application in your browser at http://localhost:8080\n\n# Usage\n- Access the web UI through your preferred browser.\n- Define target zones by interacting with the user-friendly interface.\n- Witness real-time updates as AGVs autonomously navigate to assigned zones.\n\n# Dependencies\n- ependencies listed in package.json\n\n# License\n- This project is licensed under the [MIT License](LICENSE).\n\n# Contact\n- For inquiries and support, contact me at [aman.tifli@gmail.com](mailto:aman.tifli@gmail.com)\n\n## NPM commands\n```\nnpm install\n```\n\n### Compiles and hot-reloads for development\n```\nnpm run serve\n```\n\n### Compiles and minifies for production\n```\nnpm run build\n```\n\n### Lints and fixes files\n```\nnpm run lint\n```\n\n### Customize configuration\nSee [Configuration Reference](https://cli.vuejs.org/config/)."", ""readme_length"": 1730, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 32}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1731}, {""path"": ""babel.config.js"", ""type"": ""file"", ""size"": 73}, {""path"": ""jsconfig.json"", ""type"": ""file"", ""size"": 279}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 1075}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""vue.config.js"", ""type"": ""file"", ""size"": 118}], ""files_total_count"": 14, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/Mycelium-Lauzhack2023/restapi"", ""owner"": ""Mycelium-Lauzhack2023"", ""repo_name"": ""restapi"", ""repo"": ""restapi"", ""name_with_owner"": ""Mycelium-Lauzhack2023/restapi"", ""url"": ""https://github.com/Mycelium-Lauzhack2023/restapi"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T21:35:40Z"", ""updated_at"": ""2023-12-03T04:27:46Z"", ""pushed_at"": ""2023-12-03T10:19:57Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Go"", ""languages_top"": [{""language"": ""Go"", ""size"": 2950}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2023-12-02T21:35:40Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:19:54Z"", ""last_commit_oid_default_branch"": ""4da79cf5cf18567541b31288e668eac6c3a2b10c"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""AmanTifli"", ""contributions"": 5, ""html_url"": ""https://github.com/AmanTifli""}], ""readme_title"": ""Project Mycelium RESTful service"", ""readme_text"": ""# Project Mycelium RESTful service\n\n# Description\nThis project is a Golang-based RESTful web service using GIN,\nserving as the intermediary between the path planner and the frontend. This\nservice efficiently retrieves information from the planner, processes it, and\nprepares the data for seamless integration with the Vue.js frontend.\n\n# Key Features\n- RESTful API: Exposes a clean and efficient API for communication with the frontend.\n- Data Processing: Gathers information from the path planner and formats it for real-time consumption by the frontend.\n- Scalable and Performant: Built on GIN, known for its speed and minimalistic design, ensuring optimal performance.\n\n# Getting Started\n- Clone the repository: git clone https://github.com/Mycelium-Lauzhack2023/restapi\n- Install dependencies: go get ./...\n- Build and run the server: go run main.go\n- The server will be accessible at http://localhost:8081\n\n# API Endpoints\n- GET /api/path: Retrieve path information from the path planner.\n- Add any additional endpoints as needed.\n\n# Configuration\n- Modify the config.yaml file to adjust server settings, planner connection details, etc.\n\n# Dependencies\n- 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sectors, such as healthcare, retail, manufacturing and entertainment.\n\nIn this repository, a bespoke robot simulator is implemented to simulate a fleet of autonomous robots.\nIt also contains a bespoke navigation stack to enable these robots to navigate to any predifined target position.\n\n## Demo\n\nThe 3 agents (blue) in the GIF below are navigating to their goal position autonomously.\nThere is no pre-programmed path.\n\n![Fleet of autonomous agents](https://github.com/Lauzhack2023/robot-simulator/blob/main/autonomous_multi_agent_navigation.gif)\n\nFor this demo, the RRT* Algorithm is used as the planner in the navigation stack.\n\n![RRT visualization](https://github.com/Lauzhack2023/robot-simulator/blob/main/RRT.gif)\n\nThis project is developed as part of the LauzHack 2023 event.\nTeam members: Dominic Wong, Muhammad Aman"", ""readme_length"": 1085, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3078}, {""path"": "".pre-commit-config.yaml"", 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""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +17,Amazon Review Tools,Our project aims to provide an accessible interface for amazon sellers to summarize user reviews on specific products.,https://github.com/AliEmreSenel/LauzHack2023,"[""Ali Emre Senel"", ""Lorenzo Calda""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:17,17,Amazon Review Tools,"[""https://github.com/AliEmreSenel/LauzHack2023""]",1,"[{""input_url"": ""https://github.com/AliEmreSenel/LauzHack2023"", ""owner"": ""AliEmreSenel"", ""repo_name"": ""LauzHack2023"", ""repo"": ""LauzHack2023"", ""name_with_owner"": ""AliEmreSenel/LauzHack2023"", ""url"": 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0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""AliEmreSenel"", ""contributions"": 7, ""html_url"": ""https://github.com/AliEmreSenel""}, {""login"": ""Vogliablu"", ""contributions"": 4, ""html_url"": ""https://github.com/Vogliablu""}], ""readme_title"": ""LauzHack2023"", ""readme_text"": ""# LauzHack2023\nAmazon Review Tools - by Ali S., Alberto L. and Lorenzo C.\n\n## BRIEF DESCRIPTION\nOur project is designed to offer Amazon sellers an accessible and immediate interface for summarizing user reviews ¬on ¬specific products. \nThe main goal of this interface is to identify the most pressing issues associated with a selected product, significantly simplifying the reading of reviews. \nThis streamlined approach lets sellers make simpler impactful decisions to enhance the overall customer experience. \n\n## INSPIRATION \nEach day the world of e-commerce is flooded with millions of feedbacks. We believe there’s a practical way to avoid drowning in them.\nWhen you decide to inspect a product, it shouldn’t take more than a couple of minutes to understand the harshest complaints or its most appreciated features. \nWith this in mind, we designed an efficient algorithm and an especially user-friendly environment to make this a reality. \nFor the scope the hackathon we agreed to focus on making the tools for checking the reviews of a single product at a time.\n\n## WHAT IT DOES\nOur solution can allow companies selling on amazon to have an easy way to take care of the customer reviews of a product of their choice. \nThe interface transmits highly concentrated information through a pie chart that divides customer reviews in a few categories chosen by our algorithm. \nIn this way it is immediate to spot what the majority of the feedback focuses on. \nMoreover, each slice of the pie chart is colour based on the percentage of positivity of reviews in that category coming from a sentiment analysis.\n\n## CHALLENGES WE RAN INTO\n-\tLimited use of LLM credits\n-\tCut in production features (LDA)\n-\tComputational times \n\n## ACCOMPLISHMENTS THAT WE’RE PROUD OF\n- Working demo (back-end and front-end implementation)\n- Learned a lot from first hackathon\n\n## HOW WE BUILT IT\nWe paired id to reviews,\nused text2vec, \nused PCA to “standardize”, \nclustered the vectors through k means (silhouette method to choose optimal k).\nSplit the vectors in 5 macro-categories. We identified the sub-categories of clusters (lemmatization). \nWe also differentiated the data based on a sentiment analysis (NLTK with vader lexicon).\n\n\n## WHAT’S NEXT FOR \""AMAZON REVIEW TOOLS\""\n-\tSimultaneous multiple product checking\n-\tIncrease of accuracy \n-\tAmazon-like UI (seller and vendor)\n\n## CODE STRUCTURE\n```apiserver```: Serves the csv data to the frontend app\n```aws-review```: frontend app written in nextjs\n\n## Screenshot\n![screenshot](https://github.com/AliEmreSenel/LauzHack2023/blob/master/Screenshot_20231203_115457.png?raw=true)\n##"", ""readme_length"": 2613, ""files_root_entries"": [{""path"": "".gitattributes"", ""type"": ""file"", ""size"": 55}, {""path"": "".gitmodules"", ""type"": ""file"", ""size"": 111}, {""path"": ""DatasetProcessing.ipynb"", ""type"": ""file"", ""size"": 143541}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2628}, {""path"": ""Screenshot_20231203_115457.png"", ""type"": ""file"", ""size"": 221184}, {""path"": ""apiserver"", ""type"": ""dir"", ""size"": 0}, {""path"": ""aws-reviews"", ""type"": ""file"", ""size"": 0}], ""files_total_count"": 544, ""dirs_total_count"": 127, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +18,Amazon Review Tools,Our project aims to provide an accessible interface for amazon sellers to summarize user reviews on specific products.,https://github.com/AliEmreSenel/LauzHack2023,"[""Alberto Paolo Lolli""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:18,18,Amazon Review Tools,"[""https://github.com/AliEmreSenel/LauzHack2023""]",1,"[{""input_url"": ""https://github.com/AliEmreSenel/LauzHack2023"", ""owner"": ""AliEmreSenel"", ""repo_name"": ""LauzHack2023"", ""repo"": ""LauzHack2023"", ""name_with_owner"": ""AliEmreSenel/LauzHack2023"", ""url"": ""https://github.com/AliEmreSenel/LauzHack2023"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2023-12-02T13:48:20Z"", ""updated_at"": ""2024-04-02T13:41:56Z"", ""pushed_at"": ""2023-12-03T10:58:43Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 143541}, {""language"": ""JavaScript"", ""size"": 2604}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 11, ""first_commit_date_default_branch"": ""2023-12-03T08:54:55Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:58:43Z"", ""last_commit_oid_default_branch"": ""c07c1dd6b89b44e6989849ad0dda03bc8e3eb6ec"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""AliEmreSenel"", ""contributions"": 7, ""html_url"": ""https://github.com/AliEmreSenel""}, {""login"": ""Vogliablu"", ""contributions"": 4, ""html_url"": ""https://github.com/Vogliablu""}], ""readme_title"": ""LauzHack2023"", ""readme_text"": ""# LauzHack2023\nAmazon Review Tools - by Ali S., Alberto L. and Lorenzo C.\n\n## BRIEF DESCRIPTION\nOur project is designed to offer Amazon sellers an accessible and immediate interface for summarizing user reviews ¬on ¬specific products. \nThe main goal of this interface is to identify the most pressing issues associated with a selected product, significantly simplifying the reading of reviews. \nThis streamlined approach lets sellers make simpler impactful decisions to enhance the overall customer experience. \n\n## INSPIRATION \nEach day the world of e-commerce is flooded with millions of feedbacks. We believe there’s a practical way to avoid drowning in them.\nWhen you decide to inspect a product, it shouldn’t take more than a couple of minutes to understand the harshest complaints or its most appreciated features. \nWith this in mind, we designed an efficient algorithm and an especially user-friendly environment to make this a reality. \nFor the scope the hackathon we agreed to focus on making the tools for checking the reviews of a single product at a time.\n\n## WHAT IT DOES\nOur solution can allow companies selling on amazon to have an easy way to take care of the customer reviews of a product of their choice. \nThe interface transmits highly concentrated information through a pie chart that divides customer reviews in a few categories chosen by our algorithm. \nIn this way it is immediate to spot what the majority of the feedback focuses on. \nMoreover, each slice of the pie chart is colour based on the percentage of positivity of reviews in that category coming from a sentiment analysis.\n\n## CHALLENGES WE RAN INTO\n-\tLimited use of LLM credits\n-\tCut in production features (LDA)\n-\tComputational times \n\n## ACCOMPLISHMENTS THAT WE’RE PROUD OF\n- Working demo (back-end and front-end implementation)\n- Learned a lot from first hackathon\n\n## HOW WE BUILT IT\nWe paired id to reviews,\nused text2vec, \nused PCA to “standardize”, \nclustered the vectors through k means (silhouette method to choose optimal k).\nSplit the vectors in 5 macro-categories. We identified the sub-categories of clusters (lemmatization). \nWe also differentiated the data based on a sentiment analysis (NLTK with vader lexicon).\n\n\n## WHAT’S NEXT FOR \""AMAZON REVIEW TOOLS\""\n-\tSimultaneous multiple product checking\n-\tIncrease of accuracy \n-\tAmazon-like UI (seller and vendor)\n\n## CODE STRUCTURE\n```apiserver```: Serves the csv data to the frontend app\n```aws-review```: frontend app written in nextjs\n\n## Screenshot\n![screenshot](https://github.com/AliEmreSenel/LauzHack2023/blob/master/Screenshot_20231203_115457.png?raw=true)\n##"", ""readme_length"": 2613, ""files_root_entries"": [{""path"": "".gitattributes"", ""type"": ""file"", ""size"": 55}, {""path"": "".gitmodules"", ""type"": ""file"", ""size"": 111}, {""path"": ""DatasetProcessing.ipynb"", ""type"": ""file"", ""size"": 143541}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2628}, {""path"": ""Screenshot_20231203_115457.png"", ""type"": ""file"", ""size"": 221184}, {""path"": ""apiserver"", ""type"": ""dir"", ""size"": 0}, {""path"": ""aws-reviews"", ""type"": ""file"", ""size"": 0}], ""files_total_count"": 544, ""dirs_total_count"": 127, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +19,Bioicons PDB2Vector,A service to create vector illustrations from protein 3D images,https://github.com/bioicons/pdb2vector,"[""Simon Dürr""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:19,19,Bioicons PDB2Vector,"[""https://github.com/bioicons/pdb2vector""]",1,"[{""input_url"": ""https://github.com/bioicons/pdb2vector"", ""owner"": ""bioicons"", ""repo_name"": ""pdb2vector"", ""repo"": ""pdb2vector"", ""name_with_owner"": ""bioicons/pdb2vector"", ""url"": ""https://github.com/bioicons/pdb2vector"", ""description"": null, ""homepage_url"": ""https://bioicons.github.io/pdb2vector/"", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:18:57Z"", ""updated_at"": ""2024-02-24T07:10:42Z"", ""pushed_at"": ""2023-12-03T19:38:16Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Vue"", ""languages_top"": [{""language"": ""Vue"", ""size"": 103136}, {""language"": ""JavaScript"", ""size"": 1506}, {""language"": ""HTML"", ""size"": 507}, {""language"": ""CSS"", ""size"": 58}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 77, ""first_commit_date_default_branch"": ""2023-12-02T13:18:57Z"", ""last_commit_date_default_branch"": ""2023-12-03T19:38:13Z"", ""last_commit_oid_default_branch"": ""75a383268df16ebfd421b5baae22c8d29356b9c6"", ""pull_requests_total"": 12, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 12, ""issues_total"": 1, ""issues_open"": 1, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""rush42"", ""contributions"": 27, ""html_url"": ""https://github.com/rush42""}, {""login"": ""duerrsimon"", ""contributions"": 25, ""html_url"": ""https://github.com/duerrsimon""}, {""login"": ""cheeseNA"", ""contributions"": 23, ""html_url"": ""https://github.com/cheeseNA""}, {""login"": ""richtefee"", ""contributions"": 2, ""html_url"": ""https://github.com/richtefee""}], ""readme_title"": ""pdb2vector"", ""readme_text"": ""# pdb2vector\n\nThis [web-application](http://bioicons.github.io/pdb2vector) gives a convenient way to interact with a wide variety of proteins from the RCSB protein databank. It was designed to simplify the workflow of preparing 2D vector graphic illustrations used e.g. in scientific publications by integrating all relevant components into one application. The application can be intuitively controlled by LoupeDeck using provided configurations.\n\n## Build upon\n- pdbMol*\n- Vue\n- gradio\n\n## Credits\nSimon Dürr, Ryoma Maeda, Laurenz Rasche, Felix Richter\n\nLausHack 2023"", ""readme_length"": 569, ""files_root_entries"": [{""path"": "".github"", ""type"": ""dir"", ""size"": 0}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 253}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1065}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 571}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 507}, {""path"": ""loupedeck_profile"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 118428}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 581}, {""path"": ""postcss.config.js"", ""type"": ""file"", ""size"": 80}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tailwind.config.js"", ""type"": ""file"", ""size"": 309}, {""path"": ""vite.config.js"", ""type"": ""file"", ""size"": 180}], ""files_total_count"": 28, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": true, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +20,ClauseGuardian,A Chrome extentsion that reads terms and conditions on any website when creating an account and sums up the important information for you,https://github.com/oskar-codes/lauzhack-2023/,"[""Eddy Rashed"", ""Oskar Zanota"", ""Pierre Kowalski"", ""Julie Radosavljevic""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:20,20,ClauseGuardian,"[""https://github.com/oskar-codes/lauzhack-2023""]",1,"[{""input_url"": ""https://github.com/oskar-codes/lauzhack-2023"", ""owner"": ""oskar-codes"", ""repo_name"": ""lauzhack-2023"", ""repo"": ""lauzhack-2023"", ""name_with_owner"": ""oskar-codes/lauzhack-2023"", ""url"": ""https://github.com/oskar-codes/lauzhack-2023"", ""description"": ""3 pouleto les amigos"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-11-26T20:58:42Z"", ""updated_at"": ""2023-12-03T10:44:13Z"", ""pushed_at"": ""2023-12-03T10:41:44Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 31914}, {""language"": ""CSS"", ""size"": 2899}, {""language"": ""HTML"", ""size"": 1483}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 37, ""first_commit_date_default_branch"": ""2023-11-26T21:17:55Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:41:39Z"", ""last_commit_oid_default_branch"": ""12a2cea33b271f8bee96ec2dc5051ba099671b66"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""pierrekow"", ""contributions"": 19, ""html_url"": ""https://github.com/pierrekow""}, {""login"": ""oskar-codes"", ""contributions"": 9, ""html_url"": ""https://github.com/oskar-codes""}, {""login"": ""New2-0"", ""contributions"": 8, ""html_url"": ""https://github.com/New2-0""}, {""login"": ""Redd87"", ""contributions"": 1, ""html_url"": ""https://github.com/Redd87""}], ""readme_title"": "" Lauzhack 2023"", ""readme_text"": ""# Lauzhack 2023\n\n## Clause Guardian\n\nAn AI powered bot that automatically summarizes the useful information of Terms of Service and such policies when it is needed to accept them e.g.: Creation of Account."", ""readme_length"": 266, ""files_root_entries"": [{""path"": "".editorconfig"", ""type"": ""file"", ""size"": 355}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 207}, {""path"": "".prettierignore"", ""type"": ""file"", ""size"": 118}, {""path"": "".prettierrc"", ""type"": ""file"", ""size"": 212}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 266}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""colors.txt"", ""type"": ""file"", ""size"": 167}, {""path"": ""config"", ""type"": ""dir"", ""size"": 0}, {""path"": ""pack.js"", ""type"": ""file"", ""size"": 730}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 171658}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 853}, {""path"": ""prompts"", ""type"": ""dir"", ""size"": 0}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""test-openai.js"", ""type"": ""file"", ""size"": 829}, {""path"": ""test.js"", ""type"": ""file"", ""size"": 161}, {""path"": ""test.json"", ""type"": ""file"", ""size"": 2557}], ""files_total_count"": 33, ""dirs_total_count"": 6, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +21,Cooking streamer fantasy,AI multi-step shortcut for the Logitech LOUPEDECK and Hand-gesture recognition for the triggering of events on TWITCH.,https://github.com/azuma164/Cooking-stream,"[""Claudia Leslie Arias Coquil""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:21,21,Cooking streamer fantasy,"[""https://github.com/azuma164/Cooking-stream""]",1,"[{""input_url"": ""https://github.com/azuma164/Cooking-stream"", ""owner"": ""azuma164"", ""repo_name"": ""Cooking-stream"", ""repo"": ""Cooking-stream"", ""name_with_owner"": ""azuma164/Cooking-stream"", ""url"": ""https://github.com/azuma164/Cooking-stream"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T07:07:02Z"", ""updated_at"": ""2023-12-03T10:54:57Z"", ""pushed_at"": ""2023-12-03T11:00:12Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 9236}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 6, ""first_commit_date_default_branch"": ""2023-12-03T07:08:46Z"", ""last_commit_date_default_branch"": ""2023-12-03T11:00:02Z"", ""last_commit_oid_default_branch"": ""46d5050e2811c18736df419d76c56ea026624da0"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""azuma164"", ""contributions"": 6, ""html_url"": ""https://github.com/azuma164""}], ""readme_title"": ""- Download the model from [here](https://storage.googleapis.com/mediapipe-models/gesture_recognizer/gesture_recognizer/float16/latest/gesture_recognizer.task)"", ""readme_text"": ""- Download the model from [here](https://storage.googleapis.com/mediapipe-models/gesture_recognizer/gesture_recognizer/float16/latest/gesture_recognizer.task)\n\n- Download poetry if not installed\n\n```bash\npoetry install\n```\n\n```bash\npoetry run python3 src/main.py\n```"", ""readme_length"": 266, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 49}, {""path"": "".vscode"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 267}, {""path"": ""lauzhack_obs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""models"", ""type"": ""dir"", ""size"": 0}, {""path"": ""output"", ""type"": ""dir"", ""size"": 0}, {""path"": ""poetry.lock"", ""type"": ""file"", ""size"": 156907}, {""path"": ""pyproject.toml"", ""type"": ""file"", ""size"": 484}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 17, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +22,Digest,"Digest is an AI-powered app that creates personalised podcasts, called ""Digests"", based on your interests and preferred sources of information.",https://github.com/LauzHack-2023-npm/Digest,"[""Natalia Markoborodova"", ""Philipp Wulff""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:22,22,Digest,"[""https://github.com/LauzHack-2023-npm/Digest""]",1,"[{""input_url"": ""https://github.com/LauzHack-2023-npm/Digest"", ""owner"": ""LauzHack-2023-npm"", ""repo_name"": ""Digest"", ""repo"": ""Digest"", ""name_with_owner"": ""LauzHack-2023-npm/Digest"", ""url"": ""https://github.com/LauzHack-2023-npm/Digest"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:57:02Z"", ""updated_at"": ""2023-12-02T15:25:14Z"", ""pushed_at"": ""2023-12-03T11:00:34Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 35997}, {""language"": ""Python"", ""size"": 21080}, {""language"": ""HTML"", ""size"": 1721}, {""language"": ""CSS"", ""size"": 1083}, {""language"": ""Shell"", ""size"": 133}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 88, ""first_commit_date_default_branch"": ""2023-12-02T14:08:21Z"", ""last_commit_date_default_branch"": ""2023-12-03T11:00:27Z"", ""last_commit_oid_default_branch"": ""edae4fac175d551f6df6fc15e08c0a01eea8825b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""philippwulff"", ""contributions"": 60, ""html_url"": ""https://github.com/philippwulff""}, {""login"": ""martintefra"", ""contributions"": 14, ""html_url"": ""https://github.com/martintefra""}, {""login"": ""ewewraw"", ""contributions"": 14, ""html_url"": ""https://github.com/ewewraw""}], ""readme_title"": ""Digest"", ""readme_text"": ""# Digest\n<<<<<<< HEAD\n\n> Digest: Where Ideas Speak to You.\n=======\nhttps://youtu.be/rAXkra7h3kw\n# awesome-react-flask-Docker\nHackathon template with a React frontend and Flask backend. Docker containers for easy deployment.\n>>>>>>> 1c303293843fe6d37a8216e3a6f5f7666d39e04b\n\n## What is does\n\nDigest crafts personalized podcasts from arXiv and beyond, delivering curated insights to your ears.\n\n## Demo\n\n# Running\n\n## In Development\n\nYou need `Node.js` (to use `npm`) and `Python` with the required dependencies. On MacOS:\n```bash\n# For the React package manager\nbrew install node\n# Python dependencies\nconda create -n backend Python=3.9\nconda activate backend\nconda install --file backend-react-client/requirements.txt\n```\n\nInstall [Docker](https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository) and [docker-compose](https://docs.docker.com/compose/install/linux/#install-using-the-repository).\n\nRunning the app:\n\n```bash\n# Run the backend before the frontend.\ncd backend-flask-server\nflask run\n\ncd ../frontend-react-client\nnpm run start\n# or\n# DANGEROUSLY_DISABLE_HOST_CHECK=true npm run start\n# See this issue: https://stackoverflow.com/questions/70374005/invalid-options-object-dev-server-has-been-initialized-using-an-options-object\n```\n\n> The backend listens to port `4000` (because MacOS hijacks the default). If you want to change this, you need to modify the following files:\n>- `backend-flask-server/.flaskenv`\n>- `Dockerfile.backend`\n>- `frontend-react-client/deployment/nginx.default.conf`\n>- `frontend-react-client/package.json`\n> \n> The frontend listens to default port `3000`.\n\n## Deployment\n\nUsing a Gunicorn server for the Python project, and nginx as a reverse proxy in front of it. All commands are run from the root directory.\n\n### Building the Docker images together with docker-compose\n\n```bash\ndocker compose up\n```\n\nor `docker-compose up` on older versions. Use `docker compose up -d --no-deps --build` to rebuild."", ""readme_length"": 1958, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3496}, {""path"": ""Architecture.png"", ""type"": ""file"", ""size"": 543969}, {""path"": ""Dockerfile.backend"", ""type"": ""file"", ""size"": 445}, {""path"": ""Dockerfile.frontend"", ""type"": ""file"", ""size"": 1387}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1070}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1959}, {""path"": ""backend-flask-server"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 763}, {""path"": ""frontend-react-client"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 55, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +23,DistilLM: The Sales Support Employee You Wish You Had,"Applying LLMS to distill and summerize costumer reviews, embedding and clustering them using classical NLP methods and finally applying using LLMS to summarize and humanize the output. First hackathon ⊂(◉‿◉)つ",https://github.com/ihchaeryu/LauzHack23-RHR,"[""Gabriel Agerholm Ruge"", ""Ihchae Ryu"", ""Keita Hidaka""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:23,23,DistilLM: The Sales Support Employee You Wish You Had,"[""https://github.com/ihchaeryu/LauzHack23-RHR""]",1,"[{""input_url"": ""https://github.com/ihchaeryu/LauzHack23-RHR"", ""owner"": ""ihchaeryu"", ""repo_name"": ""LauzHack23-RHR"", ""repo"": ""LauzHack23-RHR"", ""name_with_owner"": ""ihchaeryu/LauzHack23-RHR"", ""url"": ""https://github.com/ihchaeryu/LauzHack23-RHR"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:45:32Z"", ""updated_at"": ""2023-12-02T19:31:40Z"", ""pushed_at"": ""2023-12-03T13:45:17Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 4377374}, {""language"": ""Python"", ""size"": 2645}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 22, ""first_commit_date_default_branch"": ""2023-12-02T13:45:32Z"", ""last_commit_date_default_branch"": ""2023-12-03T13:45:07Z"", ""last_commit_oid_default_branch"": ""68f198389126f28e38c1138ee4e16689ef06a8e0"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""Dolphus2"", ""contributions"": 10, ""html_url"": ""https://github.com/Dolphus2""}, {""login"": ""ihchaeryu"", ""contributions"": 8, ""html_url"": ""https://github.com/ihchaeryu""}, {""login"": ""KeitaHidaka"", ""contributions"": 4, ""html_url"": ""https://github.com/KeitaHidaka""}], ""readme_title"": ""DistilLM: The Sales Support Employee You Wish You Had"", ""readme_text"": ""# DistilLM: The Sales Support Employee You Wish You Had\n\n## 2023 LauzHack AWS & AXA Challenge\n\n
\n\n### Team\n\n- Gabriel Agerholm\n- Ihchae Ryu\n- Keita Hidaka\n\n### Goal of Challenge\n\n1. Extract general problems from customer reviews dataset and present useful feedback\n2. Useful application of LLMs\n\n### Dataset and Tools\n\n- [Amazon Reviews: Unlocked Mobile Phones](https://www.kaggle.com/datasets/PromptCloudHQ/amazon-reviews-unlocked-mobile-phones/)\n- OpenAI API (model: gpt-3.5-turbo)\n\n### Process and Results\n\n**1. Text distilled via LLM**\n\n![LLM summarizing reviews](results/summarizing.png)\n\n**2. Embedding text via OpenAI**\n \n![Embedding of summaries](results/embedding.png)\n\n**3. Clustering via K-Means**\n\n![Clustering visualization](results/clustering.png)\n\n**4. Analyzing and extracting cluster themes**\n\n![Cluster themes 0, 1](results/clusters_theme1.png)\n\n![Cluster themes 2, 3](results/clusters_theme2.png)\n\n**5. Reliable issues in wordclouds**\n\n![Cluster wordcloud 0](results/clusters_wordcloud1.png)\n\n![Cluster wordcloud 1](results/clusters_wordcloud2.png)\n\n![Cluster wordcloud 2](results/clusters_wordcloud3.png)\n\n![Cluster wordcloud 3](results/clusters_wordcloud4.png)"", ""readme_length"": 1186, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 8196}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3191}, {""path"": ""Gabriel_NLP"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Ihchae_LLM"", ""type"": ""dir"", ""size"": 0}, {""path"": ""LauzHack_RHR.ipynb"", ""type"": ""file"", ""size"": 1181348}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1186}, {""path"": ""lauzhacktest.ipynb"", ""type"": ""file"", ""size"": 29372}, {""path"": ""myfile.csv"", ""type"": ""file"", ""size"": 1272393}, {""path"": ""requirements_paperboat.txt"", ""type"": ""file"", ""size"": 517}, {""path"": ""results"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 32, ""dirs_total_count"": 6, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +24,Elastic Review Review,Amazon Elastic Review Review (ER2) shortens and clusters your product reviews to make them readable and actionable,https://github.com/paulmis/lauzhack23,"[""David Dinucu-Jianu"", ""Neel Lodha"", ""Paul Misterka"", ""Yigit Colakoglu Colakoglu""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:24,24,Elastic Review Review,"[""https://github.com/paulmis/lauzhack23""]",1,"[{""input_url"": ""https://github.com/paulmis/lauzhack23"", ""owner"": ""paulmis"", ""repo_name"": ""Amazon-ER2"", ""repo"": ""lauzhack23"", ""name_with_owner"": ""paulmis/Amazon-ER2"", ""url"": ""https://github.com/paulmis/Amazon-ER2"", ""description"": ""Automatically detect prevalent issues with your Amazon listings by scanning their reviews"", ""homepage_url"": """", ""topics"": [""amazon"", ""genai"", ""genai-usecase"", ""generative-ai"", ""reviews""], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2023-12-02T11:01:08Z"", ""updated_at"": ""2024-04-05T23:27:22Z"", ""pushed_at"": ""2023-12-24T10:53:14Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 233399}, {""language"": ""Python"", ""size"": 40291}, {""language"": ""TypeScript"", ""size"": 35444}, {""language"": ""JavaScript"", ""size"": 2360}, {""language"": ""CSS"", ""size"": 1943}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 133, ""first_commit_date_default_branch"": ""2023-12-02T15:50:11Z"", ""last_commit_date_default_branch"": ""2023-12-24T10:53:14Z"", ""last_commit_oid_default_branch"": ""da6fee4e5f5a6e50880aa821b54f2328086f2eed"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 6, ""contributors_top"": [{""login"": ""Yigit Colakoglu"", ""contributions"": 46, ""html_url"": null}, {""login"": ""David Dinucu-Jianu"", ""contributions"": 36, ""html_url"": null}, {""login"": ""Idkwhoami42"", ""contributions"": 32, ""html_url"": ""https://github.com/Idkwhoami42""}, {""login"": ""Paul Misterka"", ""contributions"": 13, ""html_url"": null}, {""login"": ""RD211"", ""contributions"": 4, ""html_url"": ""https://github.com/RD211""}, {""login"": ""paulmis"", ""contributions"": 2, ""html_url"": ""https://github.com/paulmis""}], ""readme_title"": ""Amazon Elastic Review Review (Amazon ER2)"", ""readme_text"": ""# Amazon Elastic Review Review (Amazon ER2)\n\nWelcome to **Amazon Elastic Review Review**, an advanced review analyzer tailored for Amazon sellers. Our tool leverages cutting-edge technologies to identify key issues from customer feedback, cluster them for better understanding, and prioritize them based on their impact on your business.\n\n_Note: this project is not affiliated with Amazon, and was built as a solution for a LauzHack 2023 challenge prepared by AWS._\n\n### Key Features:\n- **Issue Identification**: Extracts critical insights from reviews using advanced NLP models.\n- **Clustering**: Groups similar issues using the OPTICS clustering algorithm for a clearer overview.\n- **Prioritization**: Prioritizes issues based on their frequency and impact on customer satisfaction.\n\n![image (2)](https://github.com/paulmis/lauzhack23/assets/45182027/f040a784-035b-422d-bab4-eba4f95fdf2d)\n\n\n## How to run\nYou can run this demo locally only:\n\n1. Install NPM and Python 3\n\n2. Clone the repository\n\n```\ngit clone https://github.com/paulmis/lauzhack23.git\n```\n\n3. Install all dependencies. For frontend:\n\n```\ncd frontend\nnpm i\n```\n\nFor backend:\n```\ncd backend\npython3 -m pip install -r requirements.txt\n```\n\n4. Provide credentials for an account with Amazon Bedrock's Claude v2 LLM enabled.\n\n```\nexport AWS_ACCESS_KEY_ID=\nexport AWS_SECRET_ACCESS_KEY=\nexport AWS_SESSION_TOKEN=\n```\n\n5. Run the backend\n\n```\ncd backend\npython3 run.py\n```\n\nIf successful, you should see:\n```\nCreate new client\n Using region: us-east-1\nboto3 Bedrock client successfully created!\nbedrock-runtime(https://bedrock-runtime.us-east-1.amazonaws.com)\n * Serving Flask app 'api'\n * Debug mode: on\nWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.\n * Running on http://127.0.0.1:5000\n```\n\n6. Run the `populate_database.py` file.\nThis should populate the database with the provided CSV file. See section below on how to provide the data.\n\n7. Run the frontend\n\n```\ncd frontend\nnpm run dev\n```\n\nIf successful, you should see:\n```\n> my-app@0.1.0 dev\n> next dev\n\n ▲ Next.js 14.0.3\n - Local: http://localhost:3000\n\n ✓ Ready in 3.3s\n```\n\n8. Access `localhost:3000` to see the user interface.\n\n### Provide your own dataset\n\nTo integrate your own dataset with Amazon Elastic Review Review, follow these steps:\n\n1. Prepare your dataset in CSV format. The dataset should adhere to the following column structure:\n\n ```\n Product Name,Brand Name,Price,Rating,Reviews,Review Votes\n ```\n\n - `Product Name`: The name of the product.\n - `Brand Name`: The name of the brand associated with the product.\n - `Price`: The price of the product.\n - `Rating`: The rating out of 5 of the review.\n - `Reviews`: The text of the customer review.\n - `Review Votes`: The number of votes/likes the review received.\n\n2. Locate the `populate_database.py` file within the project's directory.\n\n3. Modify the `CSV_FILE` path variable in `populate_database.py` to point to your CSV file. For instance:\n\n ```python\n CSV_FILE = \""path/to/your/dataset.csv\""\n ```\n\n Replace `path/to/your/dataset.csv` with the actual file path of your dataset.\n\n4. After updating the `CSV_FILE` path, the application will use your dataset for its analysis process.\n5. Rerunning the `populate_database.py` should now add the new dataset to the database. \n\n\nNote: If the script has been previously ran deleting the old database would be needed.\n\n\n## Technologies Used\n- **Amazon Bedrock**: Robust infrastructure for scalable data processing.\n- **Claude V2 LLM**: State-of-the-art language model for natural language understanding.\n- **Titan Embeddings**: Powerful feature extraction for accurate text analysis.\n- **Stable Diffusion Image Generation**: Generates visual representations of data trends and clusters.\n- **OPTICS Clustering**: Advanced clustering algorithm for nuanced data segmentation."", ""readme_length"": 3914, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 27}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3919}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 62, ""dirs_total_count"": 20, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +25,FitHeart with Kangi,"A friendly app for HCM patients to mainly receive guidance about sports and physical activity based on pulse/oxygen data from a patient's wearable device, questionnaire answers about how the patient is feeling today, and ECG data uploaded by the patient.",https://github.com/abilevi5/FitHeart-with-Kangi/tree/main,"[""Abigail Levison""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:25,25,FitHeart with Kangi,"[""https://github.com/abilevi5/FitHeart-with-Kangi""]",1,"[{""input_url"": ""https://github.com/abilevi5/FitHeart-with-Kangi"", ""owner"": ""abilevi5"", ""repo_name"": ""FitHeart-with-Kangi"", ""repo"": ""FitHeart-with-Kangi"", ""name_with_owner"": ""abilevi5/FitHeart-with-Kangi"", ""url"": ""https://github.com/abilevi5/FitHeart-with-Kangi"", ""description"": ""App for HCM patients"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T10:46:34Z"", ""updated_at"": ""2025-11-18T17:02:22Z"", ""pushed_at"": ""2025-11-18T17:02:18Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": null, ""languages_top"": [], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2023-12-03T10:46:34Z"", ""last_commit_date_default_branch"": ""2025-11-18T17:02:18Z"", ""last_commit_oid_default_branch"": ""0129c4e3aedd7cd11aed09e9e070272d69a15865"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""abilevi5"", ""contributions"": 5, ""html_url"": ""https://github.com/abilevi5""}], ""readme_title"": ""FitHeart-with-Kangi"", ""readme_text"": ""# FitHeart-with-Kangi\n#App for HCM patients, created as part of Bristol Myers Squibb challenge for LauzHack 2023\n\n#LINK TO FIGMA\n\nhttps://www.figma.com/file/wtt9Iwa307vSEpyLXssNGc/Lauzhack-BMS?type=design&node-id=0-1&mode=design&t=y20aqk0HELj5z5iS-0\n\n#LINK TO MIRO\n\nhttps://miro.com/app/board/uXjVNHhUUs8=/"", ""readme_length"": 306, ""files_root_entries"": [{""path"": ""FitHeartWithKangi.txt"", ""type"": ""file"", ""size"": 341863}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 308}], ""files_total_count"": 2, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +26,FixMyProduct - LLM Powered Product Improvements,Using LLM and AI to cluster Amazon product reviews to gain insight from user reviews,https://gitlab.com/lauzhack23-parzival-kasimir/aws-dataset-analysis,"[""Kasimir Tanner"", ""Parzival Nussbaum""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:26,26,FixMyProduct - LLM Powered Product Improvements,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +27,Flasktivity,Context-sensitive macros using Loupedeck,https://github.com/MelissaEPFL/Hackaton_project,"[""Alexandre Bouillon"", ""Melissa Faggella"", ""Romain Mendez""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:27,27,Flasktivity,"[""https://github.com/MelissaEPFL/Hackaton_project""]",1,"[{""input_url"": ""https://github.com/MelissaEPFL/Hackaton_project"", ""owner"": ""MelissaEPFL"", ""repo_name"": ""Hackaton_project"", ""repo"": ""Hackaton_project"", ""name_with_owner"": ""MelissaEPFL/Hackaton_project"", ""url"": ""https://github.com/MelissaEPFL/Hackaton_project"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T14:21:37Z"", ""updated_at"": ""2023-12-03T08:32:46Z"", ""pushed_at"": ""2023-12-03T15:16:30Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 9503}, {""language"": ""C#"", ""size"": 7689}, {""language"": ""PowerShell"", ""size"": 69}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 53, ""first_commit_date_default_branch"": ""2023-12-02T14:21:37Z"", ""last_commit_date_default_branch"": ""2023-12-03T15:16:25Z"", ""last_commit_oid_default_branch"": ""98705c686f9fc58dee3704c7e0100e947d0b18f2"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""RomainMendez"", ""contributions"": 23, ""html_url"": ""https://github.com/RomainMendez""}, {""login"": ""MelissaEPFL"", ""contributions"": 17, ""html_url"": ""https://github.com/MelissaEPFL""}, {""login"": ""alexa"", ""contributions"": 8, ""html_url"": null}, {""login"": ""Alexandre Bouillon"", ""contributions"": 3, ""html_url"": null}, {""login"": ""Romain, Mendez"", ""contributions"": 2, ""html_url"": null}], ""readme_title"": ""Hackaton_project"", ""readme_text"": ""# Hackaton_project"", ""readme_length"": 18, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 139}, {""path"": ""FlaskAction"", ""type"": ""dir"", ""size"": 0}, {""path"": ""LoupeDeckPlugin"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 18}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 176}, {""path"": ""context_trigger.py"", ""type"": ""file"", ""size"": 2321}, {""path"": ""get_context.py"", ""type"": ""file"", ""size"": 2460}, {""path"": ""obj"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 46, ""dirs_total_count"": 14, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +28,"G.t.R. : George the Robot, Chatbot for analysing system logs",This is a ai powered chatBot that analyse the system logs of the user and answers questions about it,https://github.com/JstnFv/Lauzhack2023,"[""Justin Favey"", ""Noa Floret"", ""Nikhen Sanjaya Nyo""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:28,28,"G.t.R. : George the Robot, Chatbot for analysing system logs","[""https://github.com/JstnFv/Lauzhack2023""]",1,"[{""input_url"": ""https://github.com/JstnFv/Lauzhack2023"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'JstnFv/Lauzhack2023'.\""}]"", ""owner"": ""JstnFv"", ""repo"": ""Lauzhack2023""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +29,Helvetrip,Discover the beauty of Switzerland effortlessly with the Helvetrips travel companion. Our website offers a solution for planning your public transport journeys and seamlessly integrates with SBB parking options near stations. You will receive recommendations for the optimal combi... (hover for more),https://github.com/alberttkt/helvetrip,"[""Dylan Vairoli"", ""Ugo Balducci""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:29,29,Helvetrip,"[""https://github.com/alberttkt/helvetrip""]",1,"[{""input_url"": ""https://github.com/alberttkt/helvetrip"", ""owner"": ""alberttkt"", ""repo_name"": ""helvetrip"", ""repo"": ""helvetrip"", ""name_with_owner"": ""alberttkt/helvetrip"", ""url"": ""https://github.com/alberttkt/helvetrip"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T07:46:06Z"", ""updated_at"": ""2023-12-03T10:29:44Z"", ""pushed_at"": ""2023-12-07T10:21:37Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 357993}, {""language"": ""Python"", ""size"": 44173}, {""language"": ""Jupyter Notebook"", ""size"": 5768}, {""language"": ""CSS"", ""size"": 5228}, {""language"": ""HTML"", ""size"": 1720}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2023-12-03T10:29:37Z"", ""last_commit_date_default_branch"": ""2023-12-07T10:21:37Z"", ""last_commit_oid_default_branch"": ""7a064d8b254172ad67c67d6fbf758cea5b657f56"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""alberttkt"", ""contributions"": 4, ""html_url"": ""https://github.com/alberttkt""}], ""readme_title"": ""Lauzhack2023"", ""readme_text"": ""# Lauzhack2023\n\n\n\nhttps://github.com/alberttkt/helvetrip/assets/75203799/cd19df91-ee37-49a7-a499-a4d332904ae1"", ""readme_length"": 109, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 316}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 111}, {""path"": ""debug.py"", ""type"": ""file"", ""size"": 516}, {""path"": ""images"", ""type"": ""dir"", ""size"": 0}, {""path"": ""lauzhack"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 1841}, {""path"": ""test_api.py"", ""type"": ""file"", ""size"": 2770}], ""files_total_count"": 82, ""dirs_total_count"": 20, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +30,IdeaFusion,"Our project focus on a normal user. For example, imagine you have a to do a presentation, understand something without reading a text, or send something on telegram, all that really quickly. It how we came up with our powerful productivity tool we've been working on — Loudepeck:... (hover for more)",https://github.com/MarioROT/IdeaFusion,"[""Hoang Sao Mai Le"", ""Mario Rosas Otero"", ""Natalia Sanchez"", ""Stefan Taga""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:30,30,IdeaFusion,"[""https://github.com/MarioROT/IdeaFusion""]",1,"[{""input_url"": ""https://github.com/MarioROT/IdeaFusion"", ""owner"": ""MarioROT"", ""repo_name"": ""IdeaFusion"", ""repo"": ""IdeaFusion"", ""name_with_owner"": ""MarioROT/IdeaFusion"", ""url"": ""https://github.com/MarioROT/IdeaFusion"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T07:32:27Z"", ""updated_at"": ""2023-12-03T07:37:16Z"", ""pushed_at"": ""2023-12-03T10:49:51Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 125823}, {""language"": ""HTML"", ""size"": 12511}, {""language"": ""SCSS"", ""size"": 2707}, {""language"": ""CSS"", ""size"": 1176}, {""language"": ""Python"", ""size"": 559}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 3, ""first_commit_date_default_branch"": ""2023-12-03T07:37:07Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:49:44Z"", ""last_commit_oid_default_branch"": ""f3415d1368bf6cc6addd1ad591d37539d8a11232"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""MarioROT"", ""contributions"": 3, ""html_url"": ""https://github.com/MarioROT""}], ""readme_title"": ""IdeaFusion"", ""readme_text"": ""# IdeaFusion\nLauzHack Hackathon project at EPFL!\n\n\nOur project focus on a normal user. For example, imagine you have a to do a presentation, understand something without reading a text, or send something on telegram, all that really quickly. It how we came up with our powerful productivity tool we've been working on — Loudepeck: IdeaFusion. It's not just an ordinary tool; IdeaFusion, it's a solution to common productivity challenges that every people face. It is here to transform the way you work and create.\n\n\n## Learnings\nThe features that IdeaFusion are:\n1) Mindmap: Visualize your ideas and plans effortlessly.\nCreate Image with Theme:\n\n2) Generate creative and themes images on the fly \n\n3) Summarize a Text: Save time by quickly summarizing lengthy texts.\n\n4) Key Words: Extract insights by identifying key words from texts.\n\n5) Translate: Break language barriers and translate text seamlessly.\n\n6) Provide Definition: Enhance your vocabulary with instant word definitions.\n\n7) Read a Text Out Loud: Enjoy a hands-free reading experience.\n\n8) Send Note to Telegram: Stay connected by sharing notes directly on Telegram.\n\n\n## Challenges\n1. \nFigure out a smooth workflows that are beneficial for the users\n2. Connecting tools - We use differents kinds of tools: Java, C#, and also API from differents services, so it was difficult to connect everything.\n3. \nRely on LLM to provide information because something they fail\n4. We see the plugging function and C## is new your evryone of us, so it was kid challenging \n\n\n## Future Directions\nLive Notes—Eddy can be a helpful tool for transcribing and organizing meeting and lecture notes. With improvements to our summary feature, Eddy will be able to create detailed notes from a live recording of a meeting.\nFor otther specific users: Ex: use AI to do documentaion for the code etc."", ""readme_length"": 1839, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 2047}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1074}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1844}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 559}, {""path"": ""map2.json"", ""type"": ""file"", ""size"": 311}, {""path"": ""map3.json"", ""type"": ""file"", ""size"": 880}, {""path"": ""mindmap.json"", ""type"": ""file"", ""size"": 927}, {""path"": ""mindmapTest.html"", ""type"": ""file"", ""size"": 2393}, {""path"": ""openAI.js"", ""type"": ""file"", ""size"": 2751}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 58873}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 200}, {""path"": ""pdfGPT"", ""type"": ""file"", 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Switzerland",id:31,31,Influenhancer,"[""https://github.com/tempo-riz/lauzhack-swisscom""]",1,"[{""input_url"": ""https://github.com/tempo-riz/lauzhack-swisscom"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'tempo-riz/lauzhack-swisscom'.\""}]"", ""owner"": ""tempo-riz"", ""repo"": ""lauzhack-swisscom""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +32,Legacy LM,"A personalized conversational AI, preserving voices and connections for future comfort",https://docs.google.com/document/d/1S3Hj0kTsaN3KQLfuZYSclOEH5TSBgcqEwAZKKFD-XgI/edit?usp=sharing,"[""Alejandro Hernández Cano"", ""Arvind Menon"", ""Lars Quaedvlieg""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:32,32,Legacy LM,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +33,LogiMood,"Application leveraging data collected from the user's keyboard and mouse activity to infer their mood in order to calm them, wake them up or help them focus by emitting different light patterns on the litra lamp.",https://github.com/RoCKnD79/LauzHack23,"[""Evan Massonnet"", ""Roman Danylovych"", ""Yasmin Ben Rahhal""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:33,33,LogiMood,"[""https://github.com/RoCKnD79/LauzHack23""]",1,"[{""input_url"": ""https://github.com/RoCKnD79/LauzHack23"", ""owner"": ""RoCKnD79"", ""repo_name"": ""LauzHack23"", ""repo"": ""LauzHack23"", ""name_with_owner"": ""RoCKnD79/LauzHack23"", ""url"": ""https://github.com/RoCKnD79/LauzHack23"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:36:15Z"", ""updated_at"": ""2023-12-03T03:18:29Z"", ""pushed_at"": ""2023-12-03T10:45:26Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 863147}, {""language"": ""Python"", ""size"": 47667}, {""language"": ""JavaScript"", ""size"": 938}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 35, ""first_commit_date_default_branch"": ""2023-12-02T13:36:15Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:45:21Z"", ""last_commit_oid_default_branch"": 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Try out https://t.me/openlogslauz_bot and unleash the power of technology by delegating tasks to LLMs,https://github.com/EncryptEx/LauzHack23,"[""Jaume López Molina""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:36,36,OpenLogs Lauzhack,"[""https://github.com/EncryptEx/LauzHack23""]",1,"[{""input_url"": ""https://github.com/EncryptEx/LauzHack23"", ""owner"": ""EncryptEx"", ""repo_name"": ""LauzHack23"", ""repo"": ""LauzHack23"", ""name_with_owner"": ""EncryptEx/LauzHack23"", ""url"": ""https://github.com/EncryptEx/LauzHack23"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T12:47:42Z"", ""updated_at"": ""2024-04-26T13:18:57Z"", ""pushed_at"": ""2023-12-03T10:54:58Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 9296}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 53, ""first_commit_date_default_branch"": ""2023-12-02T12:47:42Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:54:55Z"", ""last_commit_oid_default_branch"": ""ce25b6cdf5f28ee582f270163b58a250ca66eff1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""hqbit"", ""contributions"": 26, ""html_url"": ""https://github.com/hqbit""}, {""login"": ""EncryptEx"", ""contributions"": 23, ""html_url"": ""https://github.com/EncryptEx""}, {""login"": ""cucu48"", ""contributions"": 4, ""html_url"": ""https://github.com/cucu48""}], ""readme_title"": ""OpenLogsLauz"", ""readme_text"": ""# OpenLogsLauz\nUnleash the power of AI and let it cook (foundue, if possible) to brew the answers to all of your questions.\n\n\n\n![Telegram Chat Demo](imgs/screenshot.png)\n\nThis is a project made in LauzHack 2023 at EPFL, Lausane, Switzerland\n\n## Inspiration\nWe realized that most of our daily programming issues can be identified by looking carefully at the logs. But what a better way to automatize this boring and tedious task. \n\n## What it does\nWe have built a Telegram chatbot that lets you upload the log file you want to analyze and what would you like to know about it. It will return the answer to your question. A good example is: \n\n\\*Uploads the log file\\*\n\nIN: ` Did the user 'jonny' remove any program in his computer?`\n\nOUT: ` Yes! The user jonny deleted the 'google-chrome-stable' on Nov 27 at 23:57:23`\n\n\n\n## How we built\nWe splited the project into two main parts: the gptCore stuff, and the Telegram API, both programmed in Python3. \n\n## How to run\n\nInstall Python3, git and venv.\n\nIf you are using a Debian/ Debian-based OSs you can:\n```sh\nsu root\napt install git\napt install Python3\napt install python-dotenv\n```\n\nGet a telegram bot API key and GPT API key. \n You can follow these instructions to create a Telegram Bot: https://core.telegram.org/bots#how-do-i-create-a-bot.\n\n\nClone our repo by:\n\n```sh\ngit clone https://github.com/EncryptEx/LauzHack23\n```\nCreate a virtualenviroment in python by:\n```sh\npython3 -m venv env\n```\nThen, enter it and install the requirements\n\n```sh\nsource env/bin/activate\npip install -r requirements.txt\n```\nCreate a .venv file using the template in the .env.example file (or just delete the \"".example\"" in the file) and add you API keyes.\n\nAnd finally, just run the main file!\n\n```sh\npython3 chatbot.py\n```\n\nStart chatting with the bot at [Telegram](https://t.me/openlogslauz_bot).\n\n> PROTIP: Use our generated authentication file (from /var/log/auth.log)\n\n> You can generate system log files at [see Other System Log Siles](###Other-System-Log-Files) (bottom of readme)\n\n\n\nCongrats!! The bot is ready to use.\n\n## Challenges we ran into\n\nWe used LLMs (ChatGPT) to cerate a answer taking into account the log file we needed to send a request with a lot of tokens. We started by using chatgpt3.5-turbo with 4k tokens. As a quick fix, we upgraded the version to chatgpt4-turbo-preview with aproximentely 128k tokens of context, meaning that we could upload all the file without choping it in pices. This worked quite well with the downside of being quite expensive (1€/request). Because of that, we had to dongrade the version to chatgpt3.5-16k that is a bit slower but has 4 times the amount context tokens (16k context tokens). With that, we couldn't treat large log files so we opted to chop the files in pices and paralelize the ChatGPT API requests, losing some context but being sustantialy cheaper.\n\n## Accomplishments that we made\nWe learned how to implement and use LLMs, as well as integrating them to Python scripts, and consequently, the Telegram APIs. \nWe also discovered the world of LLM models, since we thought there wouldn't exist that much. We also learned by the economical way the price of GPT4-turbo xd\n\n## What we learned\nWe learned quite a lot about Telegram bots and Chat GPT API. We learned about context in LLMs and system-logs workflow analisys.\n\n## What's next\nWe'd like to use a all-in-one model that can read a single file and ask questions in the same context/conversation, because we ran out of context window tokens because of the log file size. If you want to know how we managed to solve this issue: we opted to chop and split paraelly the data into multiple GPT3.5-turbo conversations.\n\n\n### Other System Log Siles\n| File Path | Description | Use Cases |\n|--------------------------------------------|-------------------------------------------------------|---------------------------------------------------------------|\n| `/var/log/syslog` | Primary system log file. | General system issues, service logs. |\n| `/var/log/dmesg` | Kernel ring buffer messages. | Hardware, driver issues. |\n| `/var/log/auth.log` | Authentication logs. | Security auditing, login issues. |\n| `/var/log/kern.log` | Kernel logs. | Linux kernel issues. |\n| `/var/log/boot.log` | System boot process logs. | Boot-related problems. |\n| `/var/log/dpkg.log` | Package installation and removal activity. | Package management activities. |\n| `/var/log/apache2/access.log` | Apache server access logs. | Web server access information (if Apache is used). |\n| `/var/log/apache2/error.log` | Apache server error logs. | Web server error information (if Apache is used). |\n| `/var/log/mysql.log` | MySQL general log. | MySQL database operations (if MySQL is used). |\n| `/var/log/mysql.err` | MySQL error log. | MySQL database errors (if MySQL is used). |\n| `/var/log/mail.log` | Mail server logs. | Mail server operations. |\n| `/var/log/unattended-upgrades.log` | Automatic software updates logs. | Unattended software updates. |\n| `/var/log/Xorg.0.log` | X.Org server logs. | Graphical display issues. |\n| `/var/log/ufw.log` | Uncomplicated Firewall (UFW) logs. | Firewall operations and issues. |\n| `/var/log/alternatives.log` | Update-alternatives mechanism logs. | Default command changes. |\n| `/var/log/apt/history.log` | APT command history. | Software package management history. |\n| `/var/log/apt/term.log` | Terminal output of APT operations. | Detailed view of APT operations. |\n| `/var/log/cron.log` | Cron job scheduler logs. | Scheduled task operations. |\n| `/var/log/user.log` | User-level application logs. | Application-specific issues. |\n| `/var/log/debug` | Debug messages from system and applications. | In-depth troubleshooting. |\n| `/var/log/faillog` | Failed login attempts log. | Security analysis for unauthorized access attempts. |\n| `/var/log/lastlog` | Record of last logins of all users. | User activity tracking. |\n| `/var/log/wtmp` and `/var/log/btmp` | Login/logout history and bad login attempts. | User login history and unauthorized login attempts. |\n| `/var/log/journal/` | Systemd's journal files. | Comprehensive system logging (if systemd is used). |\n| `/var/log/lightdm/lightdm.log` | LightDM display manager logs. | Desktop display manager operations (if LightDM is used). |\n| `/var/log/sysstat/` | Sysstat package logs for performance monitoring. | System performance analysis (if sysstat is used). |\n| `/var/log/anaconda.log` | Anaconda installer logs. | Installation process details (if Anaconda is used). |\n| `~/.bash_history` | User-specific command history in Bash shell. | Review and audit of user-executed commands in Bash. |\n\n\n\n## Aknowledgements\nThanks for LauzHack for hosting the event, EPFL for the venue and OpenSystems for bringing us an amazing challenge"", ""readme_length"": 8846, ""files_root_entries"": [{""path"": "".env.example"", ""type"": ""file"", ""size"": 33}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3094}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 8848}, {""path"": ""ai"", ""type"": ""dir"", ""size"": 0}, {""path"": ""bot"", ""type"": ""dir"", ""size"": 0}, {""path"": ""chatbot.py"", ""type"": ""file"", ""size"": 4969}, {""path"": ""imgs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 328}, {""path"": ""tmp"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 11, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": 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""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 20, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""alexandrepiveteau"", ""contributions"": 57, ""html_url"": ""https://github.com/alexandrepiveteau""}, {""login"": ""VictorSchneuwly"", ""contributions"": 32, ""html_url"": ""https://github.com/VictorSchneuwly""}, {""login"": ""zaclegarssure"", ""contributions"": 26, ""html_url"": ""https://github.com/zaclegarssure""}, {""login"": ""Matthieu Burguburu"", ""contributions"": 21, ""html_url"": null}, {""login"": ""matt989253"", ""contributions"": 6, ""html_url"": ""https://github.com/matt989253""}], ""readme_title"": ""LauzHack 2023"", ""readme_text"": ""# LauzHack 2023\n![P+R Pathfinder](thumbnail.jpg \""P+R Pathfinder\"")\n## Authors\n- Alexandre Piveteau\n- Matthieu Burguburu\n- Victor Schneuwly\n- Zacharie Tevaearai\n\n## Organization\n\nThis project is built using Compose for Web and Kotlin multiplatform. It is split into 3 modules:\n\n- `common`, which contains the common code between the client and the server;\n- `frontend`, which contains the client code; and\n- `backend`, which contains the server code.\n\nThe code is formatted using Ktfmt. You can install it as an IntelliJ plugin.\n\n## Running the project\n\nThe project is built using Gradle. To run the project, you can use the following commands:\n\n```bash\n./gradlew run # Starts the server, on port 8888\n./gradlew jsBrowserDevelopmentRun --continuous # Starts the client on port 8080\n```\n\nYou'll need an OpenAI API key to run the project. You generate one [here](https://platform.openai.com/api-keys). \n\nOnce you have an api key and you have credits on your account, you can set it as an environment variable:\n\n```bash\nexport OPENAI_API_KEY='your_api_key'\n```"", ""readme_length"": 1055, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 546}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1055}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""build.gradle.kts"", ""type"": ""file"", ""size"": 303}, {""path"": ""common"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""gradle.properties"", ""type"": ""file"", ""size"": 27}, {""path"": ""gradle"", ""type"": ""dir"", ""size"": 0}, {""path"": ""gradlew"", ""type"": ""file"", ""size"": 8070}, {""path"": ""gradlew.bat"", ""type"": ""file"", ""size"": 2763}, {""path"": ""kotlin-js-store"", ""type"": ""dir"", ""size"": 0}, {""path"": ""settings.gradle.kts"", 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""last_commit_date_default_branch"": ""2023-12-04T08:35:50Z"", ""last_commit_oid_default_branch"": ""1f023e82fd499291ebdec2dd89cd8ffa03de9fc7"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""lucat1"", ""contributions"": 25, ""html_url"": ""https://github.com/lucat1""}, {""login"": ""faguccio"", ""contributions"": 20, ""html_url"": ""https://github.com/faguccio""}, {""login"": ""kocierik"", ""contributions"": 18, ""html_url"": ""https://github.com/kocierik""}, {""login"": ""andreeascrob"", ""contributions"": 14, ""html_url"": ""https://github.com/andreeascrob""}], ""readme_title"": ""Our submission for the SBB challenge at LauzHack 2023"", ""readme_text"": ""Our submission for the SBB challenge at LauzHack 2023"", ""readme_length"": 53, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3331}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 34523}, {""path"": ""README"", ""type"": ""file"", ""size"": 54}, {""path"": ""back"", ""type"": ""dir"", ""size"": 0}, {""path"": ""front"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontVERO"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 44, ""dirs_total_count"": 11, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": false}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +40,Smart AI Ring,A smart ring which can help the user depending on the context using AI!,https://github.com/Kazuki1450/team_kazuki,"[""Takuto Nishimura"", ""Alberto Vaccari""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:40,40,Smart AI Ring,"[""https://github.com/Kazuki1450/team_kazuki""]",1,"[{""input_url"": ""https://github.com/Kazuki1450/team_kazuki"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'Kazuki1450/team_kazuki'.\""}]"", ""owner"": ""Kazuki1450"", ""repo"": ""team_kazuki""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +41,Telegram SBB Planner,Telegram-Bot to plan (group) trips using a mix of car and public transportation,https://t.me/TelePlanner_SBB_Bot,"[""Léo Theytaz"", ""Pierugo Pace"", ""Saged Bounekhel""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:41,41,Telegram SBB Planner,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +42,Why insure me?,"A web application that given an initial situation, generates a story of possible events that would require the protagonist to have an insurance.",https://github.com/faysalbadaoui/AXA-LauzHack,"[""Andreu Pérez Torra"", ""Gerard Monsó"", ""Faysal Badaoui Mahdad Faysal"", ""Pere Muñoz""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:42,42,Why insure me?,"[""https://github.com/faysalbadaoui/AXA-LauzHack""]",1,"[{""input_url"": ""https://github.com/faysalbadaoui/AXA-LauzHack"", ""owner"": ""faysalbadaoui"", ""repo_name"": ""AXA-LauzHack"", ""repo"": ""AXA-LauzHack"", ""name_with_owner"": ""faysalbadaoui/AXA-LauzHack"", ""url"": ""https://github.com/faysalbadaoui/AXA-LauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2023-12-02T13:40:51Z"", ""updated_at"": ""2023-12-05T07:30:23Z"", ""pushed_at"": ""2023-12-03T12:08:44Z"", ""stars"": 2, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""TypeScript"", ""languages_top"": [{""language"": ""TypeScript"", ""size"": 24056}, {""language"": ""JavaScript"", ""size"": 5246}, {""language"": ""CSS"", ""size"": 4341}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 90, 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""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 8196}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 15}, {""path"": ""web"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 26, ""dirs_total_count"": 8, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +43,A below-average GPS,A vain attempt to win an AG,https://github.com/sebhauri/lauzhack-2023,"[""Eloi Garandel"", ""Gaétan Hessler"", ""Jérémie Frei"", ""Sébastien Hauri""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:43,43,A below-average GPS,"[""https://github.com/sebhauri/lauzhack-2023""]",1,"[{""input_url"": ""https://github.com/sebhauri/lauzhack-2023"", ""owner"": ""sebhauri"", ""repo_name"": ""lauzhack-2023"", ""repo"": ""lauzhack-2023"", ""name_with_owner"": ""sebhauri/lauzhack-2023"", ""url"": ""https://github.com/sebhauri/lauzhack-2023"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T10:29:02Z"", ""updated_at"": ""2023-12-03T11:06:38Z"", ""pushed_at"": ""2023-12-07T15:15:53Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 23909}, {""language"": ""TypeScript"", ""size"": 9744}, {""language"": ""HTML"", ""size"": 595}, {""language"": ""JavaScript"", ""size"": 468}, {""language"": ""CSS"", ""size"": 453}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2023-12-03T10:31:28Z"", ""last_commit_date_default_branch"": ""2023-12-07T15:15:49Z"", ""last_commit_oid_default_branch"": ""24ea4364f4e73c7d9394c6b44116944f8f8ebf14"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""eloigrndl"", ""contributions"": 3, ""html_url"": ""https://github.com/eloigrndl""}, {""login"": ""Sébastien Hauri"", ""contributions"": 2, ""html_url"": null}], ""readme_title"": ""Lauzhack 2023 : SBB Challenge"", ""readme_text"": ""# Lauzhack 2023 : SBB Challenge\n\n### Install requirements\n\n```\npython3 -m venv env\nsource env/bin/activate\n\npip3 install -r requirements.txt\n```\n\nTo run without any issue, set the following env. variables in the root folder :\n- JOURNEY_API_URL = \""https://journey-service-int.api.sbb.ch\""\n- CLIENT_SECRET = \""...\""\n- CLIENT_ID = \""...\""\n- SCOPE = \""...\""\n- TOKEN_URL = \""...\""\n- OPEN_ROUTE_API_KEY = \""...\""\n- OPEN_ROUTE_API_URL = \""https://api.openrouteservice.org\""\n\nand the following env. variables in the `cff-client` folder:\n- REACT_APP_PLACE_API_URL = \""http://127.0.0.1:5000/v1/places/by-name\""\n- REACT_APP_TRIPS_API_URL = \""http://127.0.0.1:5000/v1/trips/by-origin-destination\""\n\n### Dataset\n\nDataset from https://opentransportdata.swiss/en/dataset/parking-facilities. Note it is not exactly the one provided initially in the challenge.\n\n### Launch\n\nThe project works with a Flask server and a React/TailwindCSS client implementation. One has to launch both in order to have a working service.\n\nFirst, launch the server : just type `flask run` at the root of the project : this will start the `app.py` file.\n\nTo client the client, go in the client directory (`cd cff-client`) and run the following commands :\n\n- `npm i`\n- `npm start`\n\nConnect to the client on your browser via `http://localhost:3000`. This will pop a UI with which you will be able to interact.\n\n→ Be sure to have all the required libraries in order for the code to run smoothly as well `node.js` installed on your computer.\n\n### How everything works\n\nThe goal of the project was to offer new ways to travel by combining Park and rails and train. Park and rails (P+R) are parkings close to train station in which customers can park while combining the price with the price of a train ticket, reducing the overall cost and the co2 emission.\n\nWe first gather informations about the Park and rails via the [opentransportdata.swiss](https://opentransportdata.swiss/en/dataset/parking-facilities) : this dataset includes about 560 Park and rails accross Switzerland. It is being updated daily so the dataset might get more points in the future.\n\nWhen a user wants to compute a new itinerary, it will compute 3 types of routes :\n\n- routes only using car.\n- routes only using public transports.\n- routes where the user will first ride to a nearby Park and rails and then take public transportation.\n\nCar routes are computed using OpenRouteService API.\nPublic transport routes are computed using the SBB provided APIs.\n\nTo compute the combined routes, we do as follows:\n\n- filter the nearest Park+Rails given the position/address of the user.\n- compute the time and distance to all those Park and rails by car.\n- compute trips from the Park and rails to destination via the SBB APIs.\n\nThis gives us several paths to different Park and rails and from each of them different train routes to the destination. Then we can compute the overall duration of the combined route.\n\nIn the end, the user gets 3 paths to choose from :\n\n- only using their car.\n- only using train.\n- going to the nearest P+R and taking a train from there.\n\nBy Eloi Garandel, Jérémie Frei, Gaétan Hessler, Sébastien Hauri"", ""readme_length"": 3143, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3215}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3148}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 11119}, {""path"": ""cff-client"", ""type"": ""dir"", ""size"": 0}, {""path"": ""cff_api_calls.py"", ""type"": ""file"", ""size"": 6831}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 1584}, {""path"": ""map_gen.py"", ""type"": ""file"", ""size"": 873}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 555}, {""path"": ""utils.py"", ""type"": ""file"", ""size"": 3502}], ""files_total_count"": 31, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +44,A2B,"This app seamlessly integrates all available means of transportation in a city to provide users with a comprehensive and efficient travel plan. Users can input their destination and preferences, such as the fastest route, the option with the least number of transfers, or eco-friendly choices.",https://github.com/khalilacheche/A2B,"[""Farah Briki"", ""Khalil Achache""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:44,44,A2B,"[""https://github.com/khalilacheche/A2B""]",1,"[{""input_url"": ""https://github.com/khalilacheche/A2B"", ""owner"": ""khalilacheche"", ""repo_name"": ""A2B"", ""repo"": ""A2B"", ""name_with_owner"": ""khalilacheche/A2B"", ""url"": ""https://github.com/khalilacheche/A2B"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T14:26:42Z"", ""updated_at"": ""2023-12-02T14:26:47Z"", ""pushed_at"": ""2023-12-03T11:09:50Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 2, ""primary_language"": ""Jupyter Notebook"", 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""sample.env"", ""type"": ""file"", ""size"": 70}, {""path"": ""sample.json"", ""type"": ""file"", ""size"": 149265}], ""files_total_count"": 15, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +45,Bioicons PDB2Vector,A service to create vector illustrations from protein 3D images,https://github.com/bioicons/pdb2vector,"[""Ryoma Maeda"", ""Felix Richter"", ""Laurenz Rasche""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:45,45,Bioicons PDB2Vector,"[""https://github.com/bioicons/pdb2vector""]",1,"[{""input_url"": ""https://github.com/bioicons/pdb2vector"", ""owner"": ""bioicons"", ""repo_name"": ""pdb2vector"", ""repo"": ""pdb2vector"", ""name_with_owner"": ""bioicons/pdb2vector"", ""url"": ""https://github.com/bioicons/pdb2vector"", ""description"": null, ""homepage_url"": ""https://bioicons.github.io/pdb2vector/"", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:18:57Z"", ""updated_at"": ""2024-02-24T07:10:42Z"", ""pushed_at"": ""2023-12-03T19:38:16Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Vue"", ""languages_top"": [{""language"": ""Vue"", ""size"": 103136}, {""language"": ""JavaScript"", ""size"": 1506}, {""language"": ""HTML"", ""size"": 507}, {""language"": ""CSS"", ""size"": 58}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 77, ""first_commit_date_default_branch"": ""2023-12-02T13:18:57Z"", ""last_commit_date_default_branch"": ""2023-12-03T19:38:13Z"", ""last_commit_oid_default_branch"": ""75a383268df16ebfd421b5baae22c8d29356b9c6"", ""pull_requests_total"": 12, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 12, ""issues_total"": 1, ""issues_open"": 1, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""rush42"", ""contributions"": 27, ""html_url"": ""https://github.com/rush42""}, {""login"": ""duerrsimon"", ""contributions"": 25, ""html_url"": ""https://github.com/duerrsimon""}, {""login"": ""cheeseNA"", ""contributions"": 23, ""html_url"": ""https://github.com/cheeseNA""}, {""login"": ""richtefee"", ""contributions"": 2, ""html_url"": ""https://github.com/richtefee""}], ""readme_title"": ""pdb2vector"", ""readme_text"": ""# pdb2vector\n\nThis [web-application](http://bioicons.github.io/pdb2vector) gives a convenient way to interact with a wide variety of proteins from the RCSB protein databank. It was designed to simplify the workflow of preparing 2D vector graphic illustrations used e.g. in scientific publications by integrating all relevant components into one application. The application can be intuitively controlled by LoupeDeck using provided configurations.\n\n## Build upon\n- pdbMol*\n- Vue\n- gradio\n\n## Credits\nSimon Dürr, Ryoma Maeda, Laurenz Rasche, Felix Richter\n\nLausHack 2023"", ""readme_length"": 569, ""files_root_entries"": [{""path"": "".github"", ""type"": ""dir"", ""size"": 0}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 253}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1065}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 571}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 507}, {""path"": ""loupedeck_profile"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 118428}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 581}, {""path"": ""postcss.config.js"", ""type"": ""file"", ""size"": 80}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tailwind.config.js"", ""type"": ""file"", ""size"": 309}, {""path"": ""vite.config.js"", ""type"": ""file"", ""size"": 180}], ""files_total_count"": 28, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": true, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +46,BoardView,Convert whiteboard drawing to latex document in realtime,https://github.com/GuyBlumenthal/lauzhacks-2023,"[""Dexter Siu"", ""Guy Blumenthal""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:46,46,BoardView,"[""https://github.com/GuyBlumenthal/lauzhacks-2023""]",1,"[{""input_url"": ""https://github.com/GuyBlumenthal/lauzhacks-2023"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'GuyBlumenthal/lauzhacks-2023'.\""}]"", ""owner"": ""GuyBlumenthal"", ""repo"": ""lauzhacks-2023""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +47,BuBu,"Map user interface so as to compare different ways of travelling from A to B, considering SBB's new parking and car implementations.",https://github.com/Nifel13/SBB,"[""Adrià Cantarero Carreras"", ""Pablo Barrenechea Perea"", ""Eduard ''"", ""Violeta Bonet Vila""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:47,47,BuBu,"[""https://github.com/Nifel13/SBB""]",1,"[{""input_url"": ""https://github.com/Nifel13/SBB"", ""owner"": ""Nifel13"", ""repo_name"": ""SBB"", ""repo"": ""SBB"", ""name_with_owner"": ""Nifel13/SBB"", ""url"": ""https://github.com/Nifel13/SBB"", ""description"": ""repositori del sbb bubu"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:21:27Z"", ""updated_at"": ""2023-12-02T23:42:53Z"", ""pushed_at"": ""2023-12-03T11:03:18Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 874818}, {""language"": ""Python"", ""size"": 33141}, {""language"": ""CSS"", ""size"": 29257}, {""language"": ""HTML"", ""size"": 27496}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 81, ""first_commit_date_default_branch"": ""2023-12-02T13:36:24Z"", ""last_commit_date_default_branch"": ""2023-12-03T11:03:16Z"", ""last_commit_oid_default_branch"": ""65f8ed5eb36029e6e3ce771be5e7d61166ea5898"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""Nifel13"", ""contributions"": 25, ""html_url"": ""https://github.com/Nifel13""}, {""login"": ""Barrenee"", ""contributions"": 25, ""html_url"": ""https://github.com/Barrenee""}, {""login"": ""adraco007"", ""contributions"": 17, ""html_url"": ""https://github.com/adraco007""}, {""login"": ""violetapoma"", ""contributions"": 8, ""html_url"": ""https://github.com/violetapoma""}, {""login"": ""adraco007"", ""contributions"": 6, ""html_url"": null}], ""readme_title"": ""SBB"", ""readme_text"": ""# SBB\nrepositori del sbb bubu"", ""readme_length"": 29, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 18}, {""path"": ""Acces API"", ""type"": ""dir"", ""size"": 0}, {""path"": ""MapUserInterface"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 30}, {""path"": ""SBB_Challenge.pdf"", ""type"": ""file"", ""size"": 3459859}, {""path"": ""WebMap"", ""type"": ""dir"", ""size"": 0}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""api-docs.json"", ""type"": ""file"", ""size"": 20652}, {""path"": ""journeyAdria.py"", ""type"": ""file"", ""size"": 6311}, {""path"": ""journeyAdria_edu.py"", ""type"": ""file"", ""size"": 2700}, {""path"": ""journeyGetter.py"", ""type"": ""file"", ""size"": 1700}, {""path"": ""mapabubuAdria.py"", ""type"": ""file"", ""size"": 1274}, {""path"": ""mapacotxe.py"", ""type"": ""file"", ""size"": 1241}, {""path"": ""maps.py"", ""type"": ""file"", ""size"": 1005}, {""path"": ""mobilitat.json"", ""type"": ""file"", ""size"": 940995}, {""path"": ""prova.py"", ""type"": ""file"", ""size"": 371}, {""path"": ""proves_vio.py"", ""type"": ""file"", ""size"": 2330}, {""path"": ""ruta_leaflet.html"", ""type"": ""file"", ""size"": 5772}, {""path"": ""ruta_suiza.html"", ""type"": ""file"", ""size"": 5775}, {""path"": ""timeCar&Walk.py"", ""type"": ""file"", ""size"": 1523}, {""path"": ""traductor_coords.py"", ""type"": ""file"", ""size"": 1739}, {""path"": ""traject.json"", ""type"": ""file"", ""size"": 129170}], ""files_total_count"": 53, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +48,CapitalNetworksAI,Reccomendation algorithm for stocks,https://github.com/EduardoNeville/CapitalNetworksAi,"[""Pol Fuentes Camacho""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:48,48,CapitalNetworksAI,"[""https://github.com/EduardoNeville/CapitalNetworksAi""]",1,"[{""input_url"": ""https://github.com/EduardoNeville/CapitalNetworksAi"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'EduardoNeville/CapitalNetworksAi'.\""}]"", ""owner"": ""EduardoNeville"", ""repo"": ""CapitalNetworksAi""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +49,FeedbackFocus,Gathers feedback from users to organize improvement-required factors and performs sentiment analysis,https://colab.research.google.com/drive/1n2xgZoH5YEXJpRW2I36YFhOeY_Wyid0c,"[""Siu Bae"", ""Vibhav Peri""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:49,49,FeedbackFocus,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +50,Gustavo,"SBB is a leading Swiss mobility provider with around 34,000 employees and 1,900 train drivers which ensures that around 1.25 million passengers reach their destination safely and on time every day. In this project, we focus on coming up with a prototype of a routing engine that c... (hover for more)",https://github.com/mikasenghaas/lauzhack,"[""Lorenzo Drudi"", ""Luca Domeniconi"", ""Ludek Cizinsky"", ""Mika Senghaas""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:50,50,Gustavo,"[""https://github.com/mikasenghaas/lauzhack""]",1,"[{""input_url"": ""https://github.com/mikasenghaas/lauzhack"", ""owner"": ""mikasenghaas"", ""repo_name"": ""lauzhack"", ""repo"": ""lauzhack"", ""name_with_owner"": ""mikasenghaas/lauzhack"", ""url"": ""https://github.com/mikasenghaas/lauzhack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:07:30Z"", ""updated_at"": ""2023-12-02T17:19:51Z"", ""pushed_at"": ""2023-12-03T11:16:58Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 14283445}, {""language"": ""Python"", ""size"": 27582}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 37, ""first_commit_date_default_branch"": ""2023-12-02T13:08:17Z"", ""last_commit_date_default_branch"": ""2023-12-03T11:16:38Z"", ""last_commit_oid_default_branch"": ""baae47dbb509a617625a16d913af83075cf5209a"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""mikasenghaas"", ""contributions"": 24, ""html_url"": ""https://github.com/mikasenghaas""}, {""login"": ""ludekcizinsky"", ""contributions"": 9, ""html_url"": ""https://github.com/ludekcizinsky""}, {""login"": ""liuktc"", ""contributions"": 3, ""html_url"": ""https://github.com/liuktc""}, {""login"": ""drudilorenzo"", ""contributions"": 1, ""html_url"": ""https://github.com/drudilorenzo""}], ""readme_title"": ""![](demo.png)"", ""readme_text"": ""![](demo.png)\n\n## Lauzhack 2023\n\nSBB is a leading Swiss mobility provider with around 34,000 employees and 1,900 train drivers which ensures that around 1.25 million passengers reach their destination safely and on time every day. In this project, we focus on coming up with a prototype of a routing engine that can take into account mutliple modalities of transportation and provide the best route for the user.\n\n## Approach\n\nWe have used the following approach to solve the problem:\n\n1. We have used the SBB Open Data Platform to build our graph where nodes are the train stations and edges are the possible train connections. Each edge is associated with attributes including departure and arrival time, duration as well as position of both stations. We then enriched this graph with possible car as well as biking connections where we used a simple proxy of average walking / biking speed and distance between stations to calculate the duration of the connection.\n\n2. We then used the graph to build a routing engine that can take into account multiple modalities of transportation. We then used a custom Dijkstra algorithm to find the shortest path between two nodes.\n\n3. Finally, we put together a demo to try our new routing engine which can be fine [here](https://huggingface.co/spaces/ludekcizinsky/lauzhack)."", ""readme_length"": 1318, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3084}, {""path"": "".python-version"", ""type"": ""file"", ""size"": 9}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1319}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 1755}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""demo.png"", ""type"": ""file"", ""size"": 270966}, {""path"": ""generate_graph.py"", ""type"": ""file"", ""size"": 4992}, {""path"": ""graph.pkl"", ""type"": ""file"", ""size"": 11175230}, {""path"": ""journey.py"", ""type"": ""file"", ""size"": 506}, {""path"": ""notebooks"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 59}, {""path"": ""utils.py"", ""type"": ""file"", ""size"": 17069}, {""path"": ""v1.py"", ""type"": ""file"", ""size"": 3260}], ""files_total_count"": 24, ""dirs_total_count"": 2, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +51,LauzBert - be happy,"Don't worry about your exams! We'll help you study, with our friendly LauzBert!",https://github.com/pedrodevo/lauzhack,"[""Bruno Zorrilla""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:51,51,LauzBert - be happy,"[""https://github.com/pedrodevo/lauzhack""]",1,"[{""input_url"": ""https://github.com/pedrodevo/lauzhack"", ""owner"": ""pedrodevo"", ""repo_name"": ""lauzhack"", ""repo"": ""lauzhack"", ""name_with_owner"": ""pedrodevo/lauzhack"", ""url"": ""https://github.com/pedrodevo/lauzhack"", ""description"": ""Repository for Lauzhack hackathon."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T14:38:06Z"", ""updated_at"": ""2024-05-02T13:39:24Z"", ""pushed_at"": ""2023-12-03T10:18:47Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 21594}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 38, ""first_commit_date_default_branch"": ""2023-12-02T16:53:25Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:18:37Z"", ""last_commit_oid_default_branch"": ""eab1848da67e045ee36a0ce325bcbe3bee1e5061"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""pedrodevog"", ""contributions"": 18, ""html_url"": ""https://github.com/pedrodevog""}, {""login"": ""alexchristlieb"", ""contributions"": 14, ""html_url"": ""https://github.com/alexchristlieb""}, {""login"": ""Brunozml"", ""contributions"": 6, ""html_url"": ""https://github.com/Brunozml""}], ""readme_title"": ""lauzhack"", ""readme_text"": ""# lauzhack\nRepository for Lauzhack hackathon.\n\n\n\n## Installation\n\n```bash\n# 1) create and activate virtual environment\n# -- EITHER with conda\nconda create -n apis_env python=3.11\nconda activate apis\n# -- OR with venv\npython3.11 -m venv apis_env\nsource apis_env/bin/activate\n\n# 2) install dependencies\n(apis_env) pip install -r requirements.txt\n```\n\n## Usage\n\nOur bot is deployed on Telegram. You can find it by searching for `@lauzbert_bot` on Telegram. It has a few useful commands:\n\n- `/start`: start the bot\n- `/help`: get help\n- `/about`: get information about the bot\n- `/testme`: provide a set of test questions about the last uploaded document\n- `/related`: `: suggest related study topics # TODO"", ""readme_length"": 703, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 6148}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 83}, {""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 703}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""exam.pdf"", ""type"": ""file"", ""size"": 1680}, {""path"": ""files"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 316}, {""path"": ""telegram_bot.py"", ""type"": ""file"", ""size"": 10626}, {""path"": ""test_huggingface.py"", ""type"": ""file"", ""size"": 4685}, {""path"": ""test_openai.py"", ""type"": ""file"", ""size"": 4430}, {""path"": ""utils.py"", ""type"": ""file"", ""size"": 1853}], ""files_total_count"": 25, ""dirs_total_count"": 4, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +52,Legacy LM,"A personalized conversational AI model, preserving voices and legacies for future connection",https://github.com/lars-quaedvlieg/Lauzhack-2023,"[""Somesh Mehra""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:52,52,Legacy LM,"[""https://github.com/lars-quaedvlieg/Lauzhack-2023""]",1,"[{""input_url"": ""https://github.com/lars-quaedvlieg/Lauzhack-2023"", ""owner"": ""lars-quaedvlieg"", ""repo_name"": ""Lauzhack-2023"", ""repo"": ""Lauzhack-2023"", ""name_with_owner"": ""lars-quaedvlieg/Lauzhack-2023"", ""url"": ""https://github.com/lars-quaedvlieg/Lauzhack-2023"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T15:02:25Z"", ""updated_at"": ""2023-12-04T07:29:04Z"", ""pushed_at"": ""2023-12-03T11:02:20Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 13308}, {""language"": ""Jupyter Notebook"", ""size"": 3167}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 46, ""first_commit_date_default_branch"": ""2023-12-02T15:02:25Z"", ""last_commit_date_default_branch"": ""2023-12-03T11:02:17Z"", ""last_commit_oid_default_branch"": ""8f72d2eca9958f07d6168c948a152e882d3f9189"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""AleHD"", ""contributions"": 19, ""html_url"": ""https://github.com/AleHD""}, {""login"": ""smehra34"", ""contributions"": 10, ""html_url"": ""https://github.com/smehra34""}, {""login"": ""arvind6599"", ""contributions"": 9, ""html_url"": ""https://github.com/arvind6599""}, {""login"": ""lars-quaedvlieg"", ""contributions"": 8, ""html_url"": ""https://github.com/lars-quaedvlieg""}], ""readme_title"": ""![logo](logo.png)"", ""readme_text"": ""![logo](logo.png)\n\n## Inspiration\n\nPreserving personal legacies is an ongoing concern for many. As time passes, memories fade, voices are lost, and the essence of individuals can become distant.\n\n## What it does\n\nOur solution offers a unique way to overcome this by enabling individuals to create personalized conversational AI models, ensuring that your legacy—your voice, stories, and personality—endures beyond your lifetime, providing comfort and connection to your loved ones in the future.\n\n## How we built it\n\nThe tool works in 2 stages:\n1. Building a persona by having a conversation/answering questions (GPT to generate questions, text-to-speech to ask questions, speech-to-text to register responses). The audio + content is then used to personalise a GPT\n2. Having a casual chat with the generated persona (speech-to-text to register the user’s conversation, GPT with persona to generate response, text-to-speech to give responses with the mimicked voice)\n\n## Challenges we ran into\n\n- Figuring out API calls\n- Working out how to have a fluent conversation with the chatbot (e.g. how long to wait to respond etc.)\n- Slow model generation since we need real-time conversations\n\n## What we learned\n\n- Require high-quality recordings to have good voice-mimicking\n- Many models are inherently biased (e.g. text-to-speech models were quite good overall but added a slight American accent to most voices)\n\n## Accomplishments that we're proud of\n\n- Implementing a working end-to-end prototype that performs quite well considering the time we had\n- Empowering users to leave behind a digital legacy, aiding in the bereavement process for their loved ones.\n\n## What's next for Legacy LM\n\n- Refining the voice mimicry and persona adoption\n- Building it out into a user-friendly tool\n- Improving conversation latency to sound more fluent\n- Expand into other use cases of personalised GPTs (e.g. personal memoirs)\n\n## Built With\n\nPython, Hugging Face, OpenAI, ElevenLabs"", ""readme_length"": 1969, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3096}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1976}, {""path"": ""conversational_model.py"", ""type"": ""file"", ""size"": 838}, {""path"": ""logo.png"", ""type"": ""file"", ""size"": 82244}, {""path"": ""main.ipynb"", ""type"": ""file"", ""size"": 3167}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 69}, {""path"": ""step1.py"", ""type"": ""file"", ""size"": 3634}, {""path"": ""step2.py"", ""type"": ""file"", ""size"": 3500}, {""path"": ""stt.py"", ""type"": ""file"", ""size"": 3042}, {""path"": ""voice_generator.py"", ""type"": ""file"", ""size"": 2294}], ""files_total_count"": 10, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +53,LeNi,We cluster and do stuff,https://github.com/try1233/Lauzhack,"[""Lennard Schaub"", ""Nils Fleischmann""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:53,53,LeNi,"[""https://github.com/try1233/Lauzhack""]",1,"[{""input_url"": ""https://github.com/try1233/Lauzhack"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'try1233/Lauzhack'.\""}]"", ""owner"": ""try1233"", ""repo"": ""Lauzhack""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +54,Log'In'Tech,Small games on logitech keyboards,https://github.com/tiago-gmfrr/LauzHack-2023/,"[""Alexandre Benzonana"", ""Daniel Rainho"", ""Stefano Cirieco"", ""Tiago Gama""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:54,54,Log'In'Tech,"[""https://github.com/tiago-gmfrr/LauzHack-2023""]",1,"[{""input_url"": ""https://github.com/tiago-gmfrr/LauzHack-2023"", ""owner"": ""tiago-gmfrr"", ""repo_name"": ""LauzHack-2023"", ""repo"": ""LauzHack-2023"", ""name_with_owner"": ""tiago-gmfrr/LauzHack-2023"", ""url"": ""https://github.com/tiago-gmfrr/LauzHack-2023"", ""description"": ""Log'InGame"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T14:16:13Z"", ""updated_at"": ""2023-12-03T09:41:15Z"", ""pushed_at"": ""2023-12-03T09:46:54Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""C#"", ""languages_top"": [{""language"": ""C#"", ""size"": 129100}, {""language"": ""JavaScript"", ""size"": 1623}, {""language"": ""HTML"", ""size"": 1451}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 16, ""first_commit_date_default_branch"": ""2023-12-02T14:16:14Z"", ""last_commit_date_default_branch"": ""2023-12-03T09:46:41Z"", ""last_commit_oid_default_branch"": ""13cb69c97e2d9613983072e86eb12b0fc79c5990"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""Tiago Gama Ferreira Carvalho"", ""contributions"": 5, ""html_url"": null}, {""login"": ""Kooleum"", ""contributions"": 4, ""html_url"": ""https://github.com/Kooleum""}, {""login"": ""Stefano Cirieco"", ""contributions"": 3, ""html_url"": null}, {""login"": ""daniel-crvlh"", ""contributions"": 3, ""html_url"": ""https://github.com/daniel-crvlh""}, {""login"": ""tiago-gmfrr"", ""contributions"": 1, ""html_url"": ""https://github.com/tiago-gmfrr""}], ""readme_title"": ""LauzHack-2023"", ""readme_text"": ""# LauzHack-2023\nLog'InGame"", ""readme_length"": 26, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 6871}, {""path"": "".vs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Game"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 27}, {""path"": ""SocketCommAttempts"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 87, ""dirs_total_count"": 22, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +55,Logivision,Doing different actions by moving the mouse with the eyes and using the button pad to automate some tasks like sending mails.,https://github.com/puigde/lauzhack2023,"[""Elias Abad Rocamora"", ""Pablo Menéndez""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:55,55,Logivision,"[""https://github.com/puigde/lauzhack2023""]",1,"[{""input_url"": ""https://github.com/puigde/lauzhack2023"", ""owner"": ""puigde"", ""repo_name"": ""lauzhack2023"", ""repo"": ""lauzhack2023"", ""name_with_owner"": ""puigde/lauzhack2023"", ""url"": ""https://github.com/puigde/lauzhack2023"", ""description"": ""the pips team"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": true, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T12:53:42Z"", ""updated_at"": ""2024-12-02T10:47:04Z"", ""pushed_at"": ""2023-12-02T23:29:12Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 42653}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 28, ""first_commit_date_default_branch"": ""2023-12-02T12:53:43Z"", ""last_commit_date_default_branch"": ""2023-12-02T23:29:08Z"", ""last_commit_oid_default_branch"": ""f6549cdace9d7d7e0fdd3eca7c1d5aaf9d3cbc77"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""puigde"", ""contributions"": 13, ""html_url"": ""https://github.com/puigde""}, {""login"": ""megaelius"", ""contributions"": 11, ""html_url"": ""https://github.com/megaelius""}, {""login"": ""pmenendz"", ""contributions"": 4, ""html_url"": ""https://github.com/pmenendz""}], ""readme_title"": ""lauzhack2023"", ""readme_text"": ""# lauzhack2023\nthe pips team\n\n# Installing:\n## To run:\n* Clone the repo: `git clone https://github.com/puigde/lauzhack2023.git`\n* Add dependencies: `cd lauzhack2023 && pip install -e .`\n## For development:\n* Install pre-commit hooks `pre-commit install`\n\n\nget the checkpoints from [here](https://drive.google.com/file/d/1Ma6zJrECNTjo_mToZ5GKk7EF-0FS4nEC) and paste into `ckpt`\n\npygobject => `sudo apt install pkg-config libcairo2-dev gcc python3-dev libgirepository1.0-dev` `pip install PyGObject`"", ""readme_length"": 497, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 214}, {""path"": "".pre-commit-config.yaml"", ""type"": ""file"", ""size"": 425}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 498}, {""path"": ""logivision"", ""type"": ""dir"", ""size"": 0}, {""path"": ""mouse_control"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 2328}, {""path"": ""setup.py"", ""type"": ""file"", ""size"": 251}], ""files_total_count"": 28, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +56,LOGs 4 Dummies,Helping non technical personal to understand LOGs,https://github.com/marcgj/LAUZHACK23-OpenSystems,"[""Rafel Salgueiro Santacreu"", ""Alexandru Stoia"", ""Marc Gaspà Joval""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:56,56,LOGs 4 Dummies,"[""https://github.com/marcgj/LAUZHACK23-OpenSystems""]",1,"[{""input_url"": ""https://github.com/marcgj/LAUZHACK23-OpenSystems"", ""owner"": ""marcgj"", ""repo_name"": ""LAUZHACK23-OpenSystems"", ""repo"": ""LAUZHACK23-OpenSystems"", ""name_with_owner"": ""marcgj/LAUZHACK23-OpenSystems"", ""url"": ""https://github.com/marcgj/LAUZHACK23-OpenSystems"", ""description"": ""Our solution for the Open Systems challenge in LauzHack 2023 in EPFL"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T13:23:12Z"", ""updated_at"": ""2023-12-03T10:33:48Z"", ""pushed_at"": ""2023-12-03T10:51:41Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 5870}, {""language"": ""Python"", ""size"": 3406}, {""language"": ""HTML"", ""size"": 1721}, {""language"": ""CSS"", ""size"": 58}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 43, ""first_commit_date_default_branch"": ""2023-12-02T14:19:35Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:51:41Z"", ""last_commit_oid_default_branch"": ""73a9ad7bd1e6c45330c5c177932ba4a115d67cde"", ""pull_requests_total"": 5, ""pull_requests_open"": 0, ""pull_requests_closed"": 1, ""pull_requests_merged"": 4, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""aleex0309"", ""contributions"": 19, ""html_url"": ""https://github.com/aleex0309""}, {""login"": ""marcgj"", ""contributions"": 17, ""html_url"": ""https://github.com/marcgj""}, {""login"": ""rafelsalgueiro"", ""contributions"": 7, ""html_url"": ""https://github.com/rafelsalgueiro""}], ""readme_title"": ""LAUZHACK23-OpenSystems 🚀"", ""readme_text"": ""# LAUZHACK23-OpenSystems 🚀\nOur solution for Open Systems challenge in LauzHack 2023 in EPFL\n\n##Overview\nOur goal is permitting non professional or non techical persons to retrieve information from different LOGs. Usually, enterprises needs techical teams to communicate with the ones who are not so technical,\nusing our solution, this part wouldn't be necessary and a lot of time would be saved.\n\n## Key Features ⚒️\n**AI-Powered 🤖:**\n - Accurate responses based on the data provided.\n - Data-driven insights for informed decision-making.\n\n**Natural Language Processing 🔍:**\n - Natural Language Queries.\n - Effortlessly data insights.\n\n## Developers \n- Alexandru Cristian Stoia - [@aleex0309](https://github.com/aleex0309)\n- Marc Gaspà Joval - [@marcgj](https://github.com/marcgj)\n- Rafel Salgueiro Santacreu [@rafelsalgueiro](https://github.com/rafelsalgueiro)"", ""readme_length"": 872, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 64}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 887}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""bot"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 7}], ""files_total_count"": 28, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +57,Maps (the remix),"Web app showing best routes from point A to point B, taking into account user preferences of bike/car.",https://github.com/lauragarcialop/LauzHack2023,"[""Max Mira"", ""Ariadna Cortés Danés"", ""Laura García""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:57,57,Maps (the remix),"[""https://github.com/lauragarcialop/LauzHack2023""]",1,"[{""input_url"": ""https://github.com/lauragarcialop/LauzHack2023"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'lauragarcialop/LauzHack2023'.\""}]"", ""owner"": ""lauragarcialop"", ""repo"": ""LauzHack2023""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +58,ML for HCM,Improved feature search for ML-assisted diagnostic of HCM from ECG,https://github.com/seirios/heart-o,"[""Sirio Bolaños Puchet""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:58,58,ML for HCM,"[""https://github.com/seirios/heart-o""]",1,"[{""input_url"": ""https://github.com/seirios/heart-o"", ""owner"": ""seirios"", ""repo_name"": ""heart-o"", ""repo"": ""heart-o"", ""name_with_owner"": ""seirios/heart-o"", ""url"": ""https://github.com/seirios/heart-o"", ""description"": ""LauzHack 2023 - ML for HCM"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T09:18:13Z"", ""updated_at"": ""2023-12-03T09:23:37Z"", ""pushed_at"": ""2023-12-03T09:27:41Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 452}, {""language"": ""Makefile"", ""size"": 202}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 3, ""first_commit_date_default_branch"": ""2023-12-03T09:18:13Z"", ""last_commit_date_default_branch"": ""2023-12-03T09:27:35Z"", ""last_commit_oid_default_branch"": ""4aeb3230cc6809f5be1861e5df82ad707b42f9b0"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""seirios"", ""contributions"": 3, ""html_url"": ""https://github.com/seirios""}], ""readme_title"": ""heart-o"", ""readme_text"": ""# heart-o\nLauzHack 2023 - ML for HCM\n\nImproved feature search for ML-assisted diagnostic of HCM from ECG"", ""readme_length"": 104, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 26}, {""path"": ""ECGMeta_ludb.xlsx"", ""type"": ""file"", ""size"": 10175}, {""path"": ""Makefile"", ""type"": ""file"", ""size"": 202}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 105}, {""path"": ""ludb_to_csv.py"", ""type"": ""file"", ""size"": 452}], ""files_total_count"": 5, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +59,Mylene_farmer,stolen car,https://github.com/desertwatermelon/Lauzhack2023,"[""Antoine Cornaz"", ""Charles Rousset"", ""Hugo Noublanche"", ""Neeraj Nampiar""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:59,59,Mylene_farmer,"[""https://github.com/desertwatermelon/Lauzhack2023""]",1,"[{""input_url"": ""https://github.com/desertwatermelon/Lauzhack2023"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'desertwatermelon/Lauzhack2023'.\""}]"", ""owner"": ""desertwatermelon"", ""repo"": ""Lauzhack2023""}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +60,OpenLogs Lauzhack,Tired of analizing log data by yourself? Try out https://t.me/openlogslauz_bot and unleash the power of technology by delegating tasks to LLMs,https://github.com/EncryptEx/LauzHack23,"[""Joffre Alcivar Riera"", ""Pau Carulla Lechosa""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:60,60,OpenLogs Lauzhack,"[""https://github.com/EncryptEx/LauzHack23""]",1,"[{""input_url"": ""https://github.com/EncryptEx/LauzHack23"", ""owner"": ""EncryptEx"", ""repo_name"": ""LauzHack23"", ""repo"": ""LauzHack23"", ""name_with_owner"": ""EncryptEx/LauzHack23"", ""url"": ""https://github.com/EncryptEx/LauzHack23"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T12:47:42Z"", ""updated_at"": ""2024-04-26T13:18:57Z"", ""pushed_at"": ""2023-12-03T10:54:58Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 9296}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 53, ""first_commit_date_default_branch"": ""2023-12-02T12:47:42Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:54:55Z"", ""last_commit_oid_default_branch"": ""ce25b6cdf5f28ee582f270163b58a250ca66eff1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""hqbit"", ""contributions"": 26, ""html_url"": ""https://github.com/hqbit""}, {""login"": ""EncryptEx"", ""contributions"": 23, ""html_url"": ""https://github.com/EncryptEx""}, {""login"": ""cucu48"", ""contributions"": 4, ""html_url"": ""https://github.com/cucu48""}], ""readme_title"": ""OpenLogsLauz"", ""readme_text"": ""# OpenLogsLauz\nUnleash the power of AI and let it cook (foundue, if possible) to brew the answers to all of your questions.\n\n\n\n![Telegram Chat Demo](imgs/screenshot.png)\n\nThis is a project made in LauzHack 2023 at EPFL, Lausane, Switzerland\n\n## Inspiration\nWe realized that most of our daily programming issues can be identified by looking carefully at the logs. But what a better way to automatize this boring and tedious task. \n\n## What it does\nWe have built a Telegram chatbot that lets you upload the log file you want to analyze and what would you like to know about it. It will return the answer to your question. A good example is: \n\n\\*Uploads the log file\\*\n\nIN: ` Did the user 'jonny' remove any program in his computer?`\n\nOUT: ` Yes! The user jonny deleted the 'google-chrome-stable' on Nov 27 at 23:57:23`\n\n\n\n## How we built\nWe splited the project into two main parts: the gptCore stuff, and the Telegram API, both programmed in Python3. \n\n## How to run\n\nInstall Python3, git and venv.\n\nIf you are using a Debian/ Debian-based OSs you can:\n```sh\nsu root\napt install git\napt install Python3\napt install python-dotenv\n```\n\nGet a telegram bot API key and GPT API key. \n You can follow these instructions to create a Telegram Bot: https://core.telegram.org/bots#how-do-i-create-a-bot.\n\n\nClone our repo by:\n\n```sh\ngit clone https://github.com/EncryptEx/LauzHack23\n```\nCreate a virtualenviroment in python by:\n```sh\npython3 -m venv env\n```\nThen, enter it and install the requirements\n\n```sh\nsource env/bin/activate\npip install -r requirements.txt\n```\nCreate a .venv file using the template in the .env.example file (or just delete the \"".example\"" in the file) and add you API keyes.\n\nAnd finally, just run the main file!\n\n```sh\npython3 chatbot.py\n```\n\nStart chatting with the bot at [Telegram](https://t.me/openlogslauz_bot).\n\n> PROTIP: Use our generated authentication file (from /var/log/auth.log)\n\n> You can generate system log files at [see Other System Log Siles](###Other-System-Log-Files) (bottom of readme)\n\n\n\nCongrats!! The bot is ready to use.\n\n## Challenges we ran into\n\nWe used LLMs (ChatGPT) to cerate a answer taking into account the log file we needed to send a request with a lot of tokens. We started by using chatgpt3.5-turbo with 4k tokens. As a quick fix, we upgraded the version to chatgpt4-turbo-preview with aproximentely 128k tokens of context, meaning that we could upload all the file without choping it in pices. This worked quite well with the downside of being quite expensive (1€/request). Because of that, we had to dongrade the version to chatgpt3.5-16k that is a bit slower but has 4 times the amount context tokens (16k context tokens). With that, we couldn't treat large log files so we opted to chop the files in pices and paralelize the ChatGPT API requests, losing some context but being sustantialy cheaper.\n\n## Accomplishments that we made\nWe learned how to implement and use LLMs, as well as integrating them to Python scripts, and consequently, the Telegram APIs. \nWe also discovered the world of LLM models, since we thought there wouldn't exist that much. We also learned by the economical way the price of GPT4-turbo xd\n\n## What we learned\nWe learned quite a lot about Telegram bots and Chat GPT API. We learned about context in LLMs and system-logs workflow analisys.\n\n## What's next\nWe'd like to use a all-in-one model that can read a single file and ask questions in the same context/conversation, because we ran out of context window tokens because of the log file size. If you want to know how we managed to solve this issue: we opted to chop and split paraelly the data into multiple GPT3.5-turbo conversations.\n\n\n### Other System Log Siles\n| File Path | Description | Use Cases |\n|--------------------------------------------|-------------------------------------------------------|---------------------------------------------------------------|\n| `/var/log/syslog` | Primary system log file. | General system issues, service logs. |\n| `/var/log/dmesg` | Kernel ring buffer messages. | Hardware, driver issues. |\n| `/var/log/auth.log` | Authentication logs. | Security auditing, login issues. |\n| `/var/log/kern.log` | Kernel logs. | Linux kernel issues. |\n| `/var/log/boot.log` | System boot process logs. | Boot-related problems. |\n| `/var/log/dpkg.log` | Package installation and removal activity. | Package management activities. |\n| `/var/log/apache2/access.log` | Apache server access logs. | Web server access information (if Apache is used). |\n| `/var/log/apache2/error.log` | Apache server error logs. | Web server error information (if Apache is used). |\n| `/var/log/mysql.log` | MySQL general log. | MySQL database operations (if MySQL is used). |\n| `/var/log/mysql.err` | MySQL error log. | MySQL database errors (if MySQL is used). |\n| `/var/log/mail.log` | Mail server logs. | Mail server operations. |\n| `/var/log/unattended-upgrades.log` | Automatic software updates logs. | Unattended software updates. |\n| `/var/log/Xorg.0.log` | X.Org server logs. | Graphical display issues. |\n| `/var/log/ufw.log` | Uncomplicated Firewall (UFW) logs. | Firewall operations and issues. |\n| `/var/log/alternatives.log` | Update-alternatives mechanism logs. | Default command changes. |\n| `/var/log/apt/history.log` | APT command history. | Software package management history. |\n| `/var/log/apt/term.log` | Terminal output of APT operations. | Detailed view of APT operations. |\n| `/var/log/cron.log` | Cron job scheduler logs. | Scheduled task operations. |\n| `/var/log/user.log` | User-level application logs. | Application-specific issues. |\n| `/var/log/debug` | Debug messages from system and applications. | In-depth troubleshooting. |\n| `/var/log/faillog` | Failed login attempts log. | Security analysis for unauthorized access attempts. |\n| `/var/log/lastlog` | Record of last logins of all users. | User activity tracking. |\n| `/var/log/wtmp` and `/var/log/btmp` | Login/logout history and bad login attempts. | User login history and unauthorized login attempts. |\n| `/var/log/journal/` | Systemd's journal files. | Comprehensive system logging (if systemd is used). |\n| `/var/log/lightdm/lightdm.log` | LightDM display manager logs. | Desktop display manager operations (if LightDM is used). |\n| `/var/log/sysstat/` | Sysstat package logs for performance monitoring. | System performance analysis (if sysstat is used). |\n| `/var/log/anaconda.log` | Anaconda installer logs. | Installation process details (if Anaconda is used). |\n| `~/.bash_history` | User-specific command history in Bash shell. | Review and audit of user-executed commands in Bash. |\n\n\n\n## Aknowledgements\nThanks for LauzHack for hosting the event, EPFL for the venue and OpenSystems for bringing us an amazing challenge"", ""readme_length"": 8846, ""files_root_entries"": [{""path"": "".env.example"", ""type"": ""file"", ""size"": 33}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3094}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 8848}, {""path"": ""ai"", ""type"": ""dir"", ""size"": 0}, {""path"": ""bot"", ""type"": ""dir"", ""size"": 0}, {""path"": ""chatbot.py"", ""type"": ""file"", ""size"": 4969}, {""path"": ""imgs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 328}, {""path"": ""tmp"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 11, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +61,Pour La Victoire,Combining advanced technology with human-centric UI to map efficient transportation routes on SBB,https://github.com/akpekig/plv,"[""Bea Webb"", ""Gillian Akpeki"", ""Heba Hussein""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:61,61,Pour La Victoire,"[""https://github.com/akpekig/plv""]",1,"[{""input_url"": ""https://github.com/akpekig/plv"", ""owner"": ""akpekig"", ""repo_name"": ""plv"", ""repo"": ""plv"", ""name_with_owner"": ""baldwinboy/plv"", ""url"": ""https://github.com/baldwinboy/plv"", ""description"": ""SBB Transportation Efficient Route Generator"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T15:44:32Z"", ""updated_at"": ""2023-12-02T20:33:13Z"", ""pushed_at"": ""2024-01-16T18:15:04Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 5306}, {""language"": ""Dockerfile"", ""size"": 794}, {""language"": ""Makefile"", ""size"": 509}, {""language"": ""JavaScript"", ""size"": 245}, {""language"": ""CSS"", ""size"": 45}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 16, ""first_commit_date_default_branch"": ""2023-12-02T18:56:57Z"", ""last_commit_date_default_branch"": ""2024-01-16T18:15:04Z"", ""last_commit_oid_default_branch"": ""f11d0d173ac635137ee3484391170dd304e30d36"", ""pull_requests_total"": 3, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 3, ""issues_total"": 10, ""issues_open"": 3, ""issues_closed"": 7, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""baldwinboy"", ""contributions"": 15, ""html_url"": ""https://github.com/baldwinboy""}, {""login"": ""Leonardo-Martella"", ""contributions"": 1, ""html_url"": ""https://github.com/Leonardo-Martella""}], ""readme_title"": ""SBB Transportation Efficient Route Generator"", ""readme_text"": ""# SBB Transportation Efficient Route Generator\n\nAn application to generate routes that connects travellers to a station within one mile of their location. Made using Solito, Python, GraphHopper, and Docker.\n\nWhat it can do:\n- [X] Search for stations within a 1 mile radius of the traveller's origin\n- [] Profile traveller for route priorities, including bicycle use, low emission, reliability, cost, simplicity, and accessibility.\n- [] Check parking availability\n- [] Identify most efficient station entrances\n- [] Live updates"", ""readme_length"": 527, ""files_root_entries"": [{""path"": "".dockerignore"", ""type"": ""file"", ""size"": 86}, {""path"": "".env.example"", ""type"": ""file"", ""size"": 266}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 202}, {""path"": ""Dockerfile"", ""type"": ""file"", ""size"": 610}, {""path"": ""Makefile"", ""type"": ""file"", ""size"": 509}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 528}, {""path"": ""__init__.py"", ""type"": ""file"", ""size"": 0}, {""path"": ""api"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 388}, {""path"": ""mypy.ini"", ""type"": ""file"", ""size"": 230}, {""path"": ""plv"", ""type"": ""dir"", ""size"": 0}, {""path"": ""pytest.ini"", ""type"": ""file"", ""size"": 23}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 1185}, {""path"": ""schemas"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tests"", ""type"": ""dir"", ""size"": 0}, {""path"": ""ui"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 28, ""dirs_total_count"": 8, ""has_tests"": true, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +62,PR ide,Park or ride - you decide,https://github.com/swittum/SBB_Challenge_LauzHack_2023,"[""Felix Walcher""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:62,62,PR ide,"[""https://github.com/swittum/SBB_Challenge_LauzHack_2023""]",1,"[{""input_url"": ""https://github.com/swittum/SBB_Challenge_LauzHack_2023"", ""owner"": ""swittum"", ""repo_name"": ""SBB_Challenge_LauzHack_2023"", ""repo"": ""SBB_Challenge_LauzHack_2023"", ""name_with_owner"": ""swittum/SBB_Challenge_LauzHack_2023"", ""url"": ""https://github.com/swittum/SBB_Challenge_LauzHack_2023"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-03T01:15:23Z"", ""updated_at"": ""2023-12-03T01:17:04Z"", ""pushed_at"": ""2023-12-05T09:55:01Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 16171}, {""language"": ""HTML"", ""size"": 5629}, {""language"": ""CSS"", ""size"": 3793}, {""language"": ""JavaScript"", ""size"": 681}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 11, ""first_commit_date_default_branch"": ""2023-12-02T23:44:15Z"", ""last_commit_date_default_branch"": ""2023-12-05T09:54:58Z"", ""last_commit_oid_default_branch"": ""94d149204231c963b16e47168cbcc250945e6c86"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""swittum"", ""contributions"": 11, ""html_url"": ""https://github.com/swittum""}], ""readme_title"": ""SBB Challenge LauzHack 2023"", ""readme_text"": ""# SBB Challenge LauzHack 2023\n## Enhancing Mobility With Interconnected Solutions\nThis repository has been created in the course of the LauzHack 2023 Hackathon hosted by EPFL in Lausanne. It has been created in strong cooperation with @fwalcher. To run the code, clone the repository to your local computer and run\n```bash\n$foo@bar:~$ pip -r install requirements.txt\n```\nin the command line. You will then be able to execute the main.py script by running\n```python\npython3 main.py\n```\nThe idea of this project is to convince frequent car drivers in Switzerland to partly switch to public transport whenever it is faster to drive to an SBB Park&Ride station by car, and then continue the journey by train."", ""readme_length"": 704, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 127}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 705}, {""path"": ""cartravel.py"", ""type"": ""file"", ""size"": 1065}, {""path"": ""compare.py"", ""type"": ""file"", ""size"": 2793}, {""path"": ""coordinates.py"", ""type"": ""file"", ""size"": 197}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 5449}, {""path"": ""parknride.py"", ""type"": ""file"", ""size"": 2379}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 549}, {""path"": ""sbb_client.py"", ""type"": ""file"", ""size"": 4288}, {""path"": ""static"", ""type"": ""dir"", ""size"": 0}, {""path"": ""templates"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 27, ""dirs_total_count"": 4, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +63,Pubmed paper reader,"reads scientific papers, extracts info, and output the tabulated data",https://lauzhack.azurewebsites.net/admin/none,"[""Marius Plancherel""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:63,63,Pubmed paper reader,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +64,The transport untwister,"Find the best path to a direction based on criterias defined by the user (shorter duration, ...)",https://github.com/emmabhl/Lauzhack23_SBB.git,"[""Emma Boehly"", ""Gaëlle Verdon"", ""Olivia Ruggaber"", ""Sander Miesen""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:64,64,The transport untwister,"[""https://github.com/emmabhl/Lauzhack23_SBB""]",1,"[{""input_url"": ""https://github.com/emmabhl/Lauzhack23_SBB"", ""owner"": ""emmabhl"", ""repo_name"": ""Lauzhack23_SBB"", ""repo"": ""Lauzhack23_SBB"", ""name_with_owner"": ""emmabhl/Lauzhack23_SBB"", ""url"": ""https://github.com/emmabhl/Lauzhack23_SBB"", ""description"": ""Project for Lauzhack 2023, SBB challenge "", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T11:24:36Z"", ""updated_at"": ""2023-12-02T14:56:31Z"", ""pushed_at"": ""2024-02-18T20:40:08Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 3696045}, {""language"": ""Python"", ""size"": 41491}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 138, ""first_commit_date_default_branch"": ""2023-12-02T11:24:36Z"", ""last_commit_date_default_branch"": ""2024-02-18T20:38:58Z"", ""last_commit_oid_default_branch"": ""51fd4cc9b0c802f4a4f889faa89ac1992a6f25ab"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""emmabhl"", ""contributions"": 44, ""html_url"": ""https://github.com/emmabhl""}, {""login"": ""oliviargg"", ""contributions"": 38, ""html_url"": ""https://github.com/oliviargg""}, {""login"": ""gv21"", ""contributions"": 31, ""html_url"": ""https://github.com/gv21""}, {""login"": ""SanderMiesen"", ""contributions"": 25, ""html_url"": ""https://github.com/SanderMiesen""}], ""readme_title"": ""Lauzhack23_SBB"", ""readme_text"": ""# Lauzhack23_SBB\nProject for Lauzhack 2023, SBB challenge \n\n# Lauzhack23_SBB\n Project for Lauzhack 2023, SBB challenge \n\n Documentation for the api\n\n Journey - Service - https://developer.sbb.ch/apis/journey-service/documentation\n\n Journey - Maps : https://developer.sbb.ch/apis/journey-maps-apikey/documentation\n\n map Background: https://developer.sbb.ch/apis/journey-maps-tiles/documentation\n\n open Data for SBB: https://data.sbb.ch/\n\n\n Here are all the credentials to APIs and Data:\n ​\n journey - Service​\n URL: https://journey-service-int.api.sbb.ch:44​\n\n Client Secret: MU48Q~IuD6Iawz3QfvkmMiKHtfXBf-ffKoKTJdt5​\n\n clientID: f132a280-1571-4137-86d7-201641098ce8​\n\n scope api://c11fa6b1-edab-4554-a43d-8ab71b016325/.default​\n\n token Endpoint: https://login.microsoftonline.com/2cda5d11-f0ac-46b3-967d-af1b2e1bd01a/oauth2/v2.0/token%E2%80%8B\n\n journey-maps​\n\n URL: https://journey-maps-apikey.api.sbb.ch/ ​\n\n api_key: bf9e3a88ab8101ba22ba8c752bbbcfd8 ​\n\n Request: As a request parameter:GET /path?api_key=YOUR_API_KEY or as a request header:GET /path HTTP/1.1 X-API-Key: YOUR_API_KEY​\n\n journey-map-tiles - Karte​\n\n URL: https://journey-maps-tiles.api.sbb.ch/ ​\n\n api_key: 8ff1e3c393578b6463f8a24b6baf0fd6 ​\n\n Request: As a request parameter:GET /path?api_key=YOUR_API_KEY or as a request header:GET /path HTTP/1.1 X-API-Key: YOUR_API_KEY​\n\n Parking Lots\n\n Park and Rail Places: https://data.sbb.ch/explore/dataset/mobilitat/table/?q=parkrail_anzahl+>+0%E2%80%8B"", ""readme_length"": 1466, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 60}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1496}, {""path"": ""api_requests.py"", ""type"": ""file"", ""size"": 2944}, {""path"": ""api_requests_mobilitat.py"", ""type"": ""file"", ""size"": 214}, {""path"": ""emma.ipynb"", ""type"": ""file"", ""size"": 371070}, {""path"": ""gaelle_api.ipynb"", ""type"": ""file"", ""size"": 0}, {""path"": ""gaelle_website.ipynb"", ""type"": ""file"", ""size"": 501202}, {""path"": ""helpers.py"", ""type"": ""file"", ""size"": 15275}, {""path"": ""helpers_sander.py"", ""type"": ""file"", ""size"": 7707}, {""path"": ""main_sander.ipynb"", ""type"": ""file"", ""size"": 46846}, {""path"": ""mobilitat.csv"", ""type"": ""file"", ""size"": 343459}, {""path"": ""mobilitat_df_with_closest_stations.csv"", ""type"": ""file"", ""size"": 277335}, {""path"": ""olivia.ipynb"", ""type"": ""file"", ""size"": 1471349}, {""path"": ""osm_helpers.py"", ""type"": ""file"", ""size"": 1825}, {""path"": ""osm_helpers_V2_but_no.py"", ""type"": ""file"", ""size"": 793}, {""path"": ""osm_helpers_abandon_justifié.py"", ""type"": ""file"", ""size"": 4616}, {""path"": ""parking.ipynb"", ""type"": ""file"", ""size"": 1297035}, {""path"": ""run_demo.ipynb"", ""type"": ""file"", ""size"": 8543}, {""path"": ""run_function.py"", ""type"": ""file"", ""size"": 3279}, {""path"": ""website.py"", ""type"": ""file"", ""size"": 4838}], ""files_total_count"": 20, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +65,TransitMLT,Improve transport in Switzerland (SBB),https://github.com/maariafarelo/TransitMLT,"[""Lucía Álvarez"", ""Maria Farelo"", ""Teresa Rovira""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:65,65,TransitMLT,"[""https://github.com/maariafarelo/TransitMLT""]",1,"[{""input_url"": ""https://github.com/maariafarelo/TransitMLT"", ""owner"": ""maariafarelo"", ""repo_name"": ""TransitMLT"", ""repo"": ""TransitMLT"", ""name_with_owner"": ""maariafarelo/TransitMLT"", ""url"": ""https://github.com/maariafarelo/TransitMLT"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-12-02T11:22:31Z"", ""updated_at"": ""2024-10-10T10:26:29Z"", ""pushed_at"": ""2023-12-03T10:57:19Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""CSS"", ""languages_top"": [{""language"": ""CSS"", ""size"": 6881}, {""language"": ""HTML"", ""size"": 6231}, {""language"": ""Python"", ""size"": 5810}, {""language"": ""JavaScript"", ""size"": 946}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 43, ""first_commit_date_default_branch"": ""2023-12-02T11:22:31Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:57:13Z"", ""last_commit_oid_default_branch"": ""333ebba051e2f2274cb47be6231e2aac263eb506"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""terocar"", ""contributions"": 17, ""html_url"": ""https://github.com/terocar""}, {""login"": ""maariafarelo"", ""contributions"": 17, ""html_url"": ""https://github.com/maariafarelo""}, {""login"": ""luciaalvarezgo"", ""contributions"": 9, ""html_url"": null}], ""readme_title"": ""TransitMLT"", ""readme_text"": ""# TransitMLT\n\n\n### This is our project for LauzHack 2023!\n\nSwitzerland’s diverse landscape calls for a mobility solution that is as flexible and varied as the needs of its people. Our vision is clear: create a sustainable and interconnected transportation system \n that serves everyone, from city dwellers to countryside residents. This challenge invited us to develop a comprehensive travel planner that integrates personal vehicle use with SBB’s Park and Rail options and public transport networks. Our solution tries to offer efficient, user-friendly routing choices that cater to different preferences, whether for example it’s reducing the number of transfers, optimizing for speed, or minimizing environmental impact or other criteria. The aim is to provide a practical, adaptable tool that enhances mobility for all, making it easier for individuals to navigate the unique Swiss geography in an eco-conscious manner. Our innovation could not only improve daily commutes but also contribute to a broader vision of sustainable and accessible transportation in Switzerland."", ""readme_length"": 1212, ""files_root_entries"": [{""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1078}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1219}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 14, ""dirs_total_count"": 4, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +66,Trip bot,"We created a bot which would help us to plan our trips. The user can provide a starting point and final destination. Then it gives the attractions on this route which are fun to visit. Project created by Ewa Miazga, Karolina Tofil and Bernard Smogór.",https://github.com/ewaMiazga/lauzHack,"[""Ewa Miazga""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:66,66,Trip bot,"[""https://github.com/ewaMiazga/lauzHack""]",1,"[{""input_url"": ""https://github.com/ewaMiazga/lauzHack"", ""owner"": ""ewaMiazga"", ""repo_name"": ""lauzHack"", ""repo"": ""lauzHack"", ""name_with_owner"": ""ewaMiazga/lauzHack"", ""url"": ""https://github.com/ewaMiazga/lauzHack"", ""description"": ""LauzHack trail respository"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2023-10-22T10:26:49Z"", ""updated_at"": ""2023-12-03T10:46:50Z"", ""pushed_at"": ""2023-12-03T10:44:34Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 19218}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 28, ""first_commit_date_default_branch"": ""2023-10-22T10:26:50Z"", ""last_commit_date_default_branch"": ""2023-12-03T10:44:30Z"", ""last_commit_oid_default_branch"": ""7daf684e8dd14904b5addde16039c6b77869b0b1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 6, ""contributors_top"": [{""login"": ""ebezzam"", ""contributions"": 14, ""html_url"": ""https://github.com/ebezzam""}, {""login"": ""ewa.miazga"", ""contributions"": 7, ""html_url"": null}, {""login"": ""lucafusarbassini"", ""contributions"": 4, ""html_url"": ""https://github.com/lucafusarbassini""}, {""login"": ""BernardSmogor"", ""contributions"": 1, ""html_url"": ""https://github.com/BernardSmogor""}, {""login"": ""ewaMiazga"", ""contributions"": 1, ""html_url"": ""https://github.com/ewaMiazga""}, {""login"": ""tflkarolina"", ""contributions"": 1, ""html_url"": ""https://github.com/tflkarolina""}], ""readme_title"": ""Telegram bots and APIs, [SLIDES](https://go.epfl.ch/telegram-apis)"", ""readme_text"": ""# Telegram bots and APIs, [SLIDES](https://go.epfl.ch/telegram-apis)\n\nFirst used at a [mini-hackathon](https://lu.ma/lauzhack-apis-2023) (Nov 11, 2023).\n\nSlides and recordings can be found here: https://go.epfl.ch/telegram-apis\n\n## Installation\n\n```bash\n# 1) create and activate virtual environment\n# -- EITHER with conda\nconda create -n apis_env python=3.11\nconda activate apis\n# -- OR with venv\npython3.11 -m venv apis_env\nsource apis_env/bin/activate\n\n# 2) install dependencies\n(apis_env) pip install -r requirements.txt\n```\n\n## Usage \n\n1. Follow along the slides on making a Telegram bot and APIs: [link](https://docs.google.com/presentation/d/1IedczIb_IedU-NWEnH4qHZCaX985zEsptzePF3b_vHA/edit?usp=sharing).\n2. Dive deeper with a specific bot - [PaperBoat](https://github.com/lucafusarbassini/paperboat) - to learn about about OpenAI, LangChain, and scrapping: [link](https://docs.google.com/presentation/d/1Otleuoi5-TfD3YCz1cS0k9MF-Tp7_E0Z/edit?usp=drive_link&ouid=115816041756434628590&rtpof=true&sd=true)."", ""readme_length"": 1012, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3139}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1064}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1013}, {""path"": ""keys.py"", ""type"": ""file"", ""size"": 224}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 14032}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 107}, {""path"": ""utils.py"", ""type"": ""file"", ""size"": 3831}, {""path"": ""utils_text.py"", ""type"": ""file"", ""size"": 1131}], ""files_total_count"": 8, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +67,User interface,User interface project,https://google.com/,"[""Wei-En HSIEH""]",,,LauzHack 2023,2023,"EPFL, Lausanne, Switzerland",id:67,67,User interface,[],0,[],2023,https://2023.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",December 2-3,2023-12-02,2023-12-03,"{'linkedin': 'https://linkedin.com/in/tatiana-porte', 'instagram': 'https://instagram.com/lauzhack', 'facebook': 'https://facebook.com/lauzhack', 'twitter': 'https://twitter.com/lauzhack'}",2026-03-09T10:19:09.638308 +1,Converge: AI agents for meetings that deliver,Our goal is to leverage AI agents in order to simplify meeting orchestration and reduce time for decision-making. Let agents prepare meetings in advance and use meetings for quick decision meetings.,https://github.com/converge-ai-lh/converge,"[""Gilles de Waha"", ""Nicolas Cuveillier"", ""Omar El Malki""]","[""1st place overall""]","[""1st place overall""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:1,1,Converge: AI agents for meetings that deliver,"[""https://github.com/converge-ai-lh/converge""]",1,"[{""input_url"": ""https://github.com/converge-ai-lh/converge"", ""owner"": ""converge-ai-lh"", ""repo_name"": ""converge"", ""repo"": ""converge"", ""name_with_owner"": ""converge-ai-lh/converge"", ""url"": ""https://github.com/converge-ai-lh/converge"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:19:40Z"", ""updated_at"": ""2025-11-10T00:45:29Z"", ""pushed_at"": ""2024-12-01T11:23:42Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 32004}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 54, ""first_commit_date_default_branch"": ""2024-11-30T13:20:26Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:23:27Z"", ""last_commit_oid_default_branch"": ""9e38e2b710f7b84bd1dc4564d869fff4bf2b6131"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""omarelmalki"", ""contributions"": 24, ""html_url"": ""https://github.com/omarelmalki""}, {""login"": ""nicolas-cuveillier"", ""contributions"": 17, ""html_url"": ""https://github.com/nicolas-cuveillier""}, {""login"": ""gillesdewaha"", ""contributions"": 13, ""html_url"": ""https://github.com/gillesdewaha""}], ""readme_title"": ""Converge - AI-Powered Meeting Assistant"", ""readme_text"": ""# Converge - AI-Powered Meeting Assistant\n\nConverge is a Slack bot that helps facilitate better meetings by:\n- Collecting and analyzing input from team members\n- Facilitating AI-powered discussions between virtual agents representing team members\n- Generating comprehensive reports and summaries\n- Providing personalized preparation guidance to individual team members\n\n## Features\n- Voice message transcription\n- PDF document analysis\n- Multi-agent discussions\n- Personalized meeting preparation\n- Automated report generation\n\n## Demo\n\nVideo coming soon\n\n## Setup\n1. Install dependencies:\n\n```\npip install -r requirements.txt\n```\n\n2. Create a .env file with:\n\n```\nOPENAI_API_KEY=your_key\nSLACK_BOT_TOKEN=your_token\nSLACK_SIGNING_SECRET=your_secret\nLLAMA_CLOUD_API_KEY=your_key\n```\n\n3. Run the Flask server:\n\n```\npython app.py\n```\n\n4. Connect this Slack app to your Slack workspace\n\n4.1 Set Up Bot Token and Permissions\nGo to the OAuth & Permissions section in the left-hand menu. Under the Scopes section, add the following bot token scopes:\n- app_mentions:read\n- channels:history\n- chat:write\n- im:history\n- users:read\n- Click Save Changes.\n\n4.2 Install the App\nNavigate to the Install App section in the left-hand menu. Click Install to Workspace and authorize the app for your workspace. Copy the Bot User OAuth Token provided after installation.\n\n4.3 Configure the Signing Secret\nIn the Basic Information section, locate the Signing Secret under App Credentials. Copy this value for use in your environment variables.\n\n4.4 Set Up Event Subscriptions\nGo to the Event Subscriptions section and toggle the Enable Events button to On. Under Request URL, enter the public URL of your server (e.g., from ngrok). The URL should end with the route that handles Slack requests, e.g., https://your-public-url.com/. Ensure your server is running to verify the request. Subscribe to events like app_mention or message.im under the Subscribe to Bot Events section.\n\n## Architecture\n\n- app.py - Main Slack bot application\n- agents.py - AI agent implementation\n- leader_discussion.py - Leadership discussion handler\n- team_member_discussion.py - Team member discussion handler\n- generate_final_report.py - Final report generation\n- Support utilities: \n - transcribe_voice_input.py \n - extract_text_from_pdf.py"", ""readme_length"": 2305, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 46}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2306}, {""path"": ""agents.py"", ""type"": ""file"", ""size"": 5884}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 13336}, {""path"": ""kylian_bezos_internship_review.pdf"", ""type"": ""file"", ""size"": 54753}, {""path"": ""leader_discussion.py"", ""type"": ""file"", ""size"": 4810}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 128}, {""path"": ""team_member_discussion.py"", ""type"": ""file"", ""size"": 5435}, {""path"": ""utils"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 10, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +2,Chronica,An offline AI enabled journal that converts voices notes into structured journal entries. It also allows you to interact smartly with your notes using advanced searches and augmented generation.,https://github.com/lars-quaedvlieg/chronica,"[""Alejandro Hernández Cano"", ""Arvind Menon"", ""Lars Quaedvlieg"", ""Somesh Mehra""]","[""2nd place overall""]","[""2nd place overall""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:2,2,Chronica,"[""https://github.com/lars-quaedvlieg/chronica""]",1,"[{""input_url"": ""https://github.com/lars-quaedvlieg/chronica"", ""owner"": ""lars-quaedvlieg"", ""repo_name"": ""chronica"", ""repo"": ""chronica"", ""name_with_owner"": ""lars-quaedvlieg/chronica"", ""url"": ""https://github.com/lars-quaedvlieg/chronica"", ""description"": ""on-device Flask-based web application designed to help you create, manage, and visualize notes effectively and securely"", ""homepage_url"": """", ""topics"": [""journal"", ""llm"", ""open-source"", ""rag""], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:32:57Z"", ""updated_at"": ""2025-09-29T06:14:59Z"", ""pushed_at"": ""2024-12-04T00:59:47Z"", ""stars"": 8, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 112323}, {""language"": ""JavaScript"", ""size"": 20532}, {""language"": ""HTML"", ""size"": 16580}, {""language"": ""CSS"", ""size"": 7296}, {""language"": ""Shell"", ""size"": 105}], ""license_spdx"": ""NOASSERTION"", ""license_name"": ""Other"", ""commit_count_default_branch"": 56, ""first_commit_date_default_branch"": ""2024-11-30T13:32:57Z"", ""last_commit_date_default_branch"": ""2024-12-04T00:59:39Z"", ""last_commit_oid_default_branch"": ""6957ef4b0763f7d979c0681f7d97fdc3395c7988"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""lars-quaedvlieg"", ""contributions"": 38, ""html_url"": ""https://github.com/lars-quaedvlieg""}, {""login"": ""smehra34"", ""contributions"": 8, ""html_url"": ""https://github.com/smehra34""}, {""login"": ""AleHD"", ""contributions"": 5, ""html_url"": ""https://github.com/AleHD""}, {""login"": ""arvind6599"", ""contributions"": 5, ""html_url"": ""https://github.com/arvind6599""}], ""readme_title"": ""Chronica"", ""readme_text"": ""# Chronica\n\n\""drawing\""\n\nChronica is a completely on-device Flask-based web application designed to help you create, manage, and visualize notes effectively and securely. It features an intuitive and interactive UI that allows you to log your unstructured thoughts, automatically transcribe and structure your notes, explore saved notes in a gallery, and even perform semantic searches and ask for insights about your entries.\n\n## Features\n\n- **Note Creation**: Record audio, transcribe it, and create new notes easily.\n- **Note Gallery**: View your notes in a well-organized, visually appealing gallery, categorized by month, week, or year.\n- **Semantic Search**: Search through your notes with advanced semantic matching.\n- **Statistics Overview**: Visualize insights from your notes, such as word clouds of note summaries.\n- **Beautiful and Interactive UI**: Colors are used to represent tags, and cards have dynamic effects to enhance the user experience.\n\n## Screenshots\n\n### 1. Home Page\n![Home Page](res/home.png)\n\n### 2. Create a New Note\n![New Note Page](res/record.png)\n\n### 3. View Notes in the Gallery\n![Gallery Page](res/gallery.png)\n\n### 4. View Note Entry\n![View Entry Page](res/view_entry.png)\n\n## Prerequisites\n\nEnsure that you have the following installed on your machine:\n\n- **Python 3.10.12**\n- **pip** (Python package manager)\n- **Docker**\n\n## Installation\n\nTo set up and run Chronica locally, follow these steps:\n\n1. **Clone the Repository**:\n\n ```sh\n git clone git@github.com:lars-quaedvlieg/chronica.git\n cd chronica\n ```\n\n2. **Install Required Packages**:\n\n ```sh\n pip install -r requirements.txt\n sudo apt install ffmpeg\n sudo apt install portaudio19-dev\n ```\n\n3. **[Install the Required CUDA Version](https://stackoverflow.com/questions/66977227/could-not-load-dynamic-library-libcudnn-so-8-when-running-tensorflow-on-ubun)**:\n\n ```sh\n wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin\n sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600\n export last_public_key=3bf863cc\n sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/${last_public_key}.pub\n sudo add-apt-repository \""deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /\""\n sudo apt-get update\n sudo apt-get install libcudnn8\n sudo apt-get install libcudnn8-dev\n ```\n\n## Running the Application\n\nAfter installing the dependencies, you can run the application using the following steps:\n\n1. **Install Ollama** (Linux example):\n\n ```sh\n curl -fsSL https://ollama.com/install.sh | sh\n ```\n\n2. **Pull the Docker Container for Qdrant**:\n\n ```sh\n docker pull qdrant/qdrant\n ```\n\n3. **Run the Application**:\n\n Run `./run_docker.sh`\n \n In a seperate window, run `python run.py`\n \n Open your web browser and navigate to `http://127.0.0.1:5000` to use Chronica.\n\n## Key Features and Usage\n\n### 1. Creating New Notes\n- Navigate to the **New Entry** page using the \""Add Note\"" button on the homepage.\n- Record audio using the big record button, and save the entry.\n- Once saved, the entry will appear in the **Note Gallery**.\n\n### 2. Viewing Notes in the Gallery\n- Use the **Note Gallery** to browse through notes by selecting different time-based filters (month, week, year).\n- Each card in the gallery represents a note, with its **tags** color-coded and its creation time displayed.\n\n### 3. Semantic Search and Statistics\n- Use the **search bar** to find relevant notes. The system uses **semantic search** to match queries with note content.\n- You can also use the search bar to generate and extrapolate given the notes that you have created.\n- You can also view a **statistics overview**, including a word cloud of note summaries.\n\n## License\n\nThis project is licensed under the Creative Commons License. See the **LICENSE** file for details.\n\n## Acknowledgments\n\n- The **Flask** and **Bootstrap** frameworks were used to develop this application.\n- Semantic search and audio transcription functionality use **Ollama** and other LLM models.\n\n## Issues\n\nIf you encounter any issues while using the application, please create an issue."", ""readme_length"": 4280, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3181}, {""path"": ""LICENSE.md"", ""type"": ""file"", ""size"": 14657}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 4282}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""backup_shh.py"", ""type"": ""file"", ""size"": 628}, {""path"": ""newwhisper"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 123}, {""path"": ""res"", ""type"": ""dir"", ""size"": 0}, {""path"": ""run.py"", ""type"": ""file"", ""size"": 103}, {""path"": ""run_docker.sh"", ""type"": ""file"", ""size"": 105}, {""path"": ""run_server.py"", ""type"": ""file"", ""size"": 2168}, {""path"": ""shh.py"", ""type"": ""file"", ""size"": 5827}], ""files_total_count"": 46, ""dirs_total_count"": 11, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +3,Podcastify AI,Generate language learning podcasts tailored to learners' individual vocabulary needs and adaptive to their feedback,https://github.com/dominikglandorf/Podcastify,"[""Dominik Glandorf"", ""Seyed Parsa Neshaei"", ""Abhinand Shibu""]","[""3rd place overall""]","[""3rd place overall""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:3,3,Podcastify AI,"[""https://github.com/dominikglandorf/Podcastify""]",1,"[{""input_url"": ""https://github.com/dominikglandorf/Podcastify"", ""owner"": ""dominikglandorf"", ""repo_name"": ""Podcastify"", ""repo"": ""Podcastify"", ""name_with_owner"": ""dominikglandorf/Podcastify"", ""url"": ""https://github.com/dominikglandorf/Podcastify"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:39:02Z"", ""updated_at"": ""2024-12-09T23:03:02Z"", ""pushed_at"": ""2024-12-01T08:42:57Z"", ""stars"": 1, ""forks"": 1, ""watchers"": 0, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 8082}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 17, ""first_commit_date_default_branch"": ""2024-11-30T12:05:19Z"", ""last_commit_date_default_branch"": ""2024-12-01T08:42:55Z"", ""last_commit_oid_default_branch"": ""08fe1c761305eabc4726bdc024f6ab3e03ca458f"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""dominikglandorf"", ""contributions"": 15, ""html_url"": ""https://github.com/dominikglandorf""}, {""login"": ""spneshaei"", ""contributions"": 1, ""html_url"": ""https://github.com/spneshaei""}, {""login"": ""faresfawzi"", ""contributions"": 1, ""html_url"": ""https://github.com/faresfawzi""}], ""readme_title"": ""French podcast generation with GPT4o"", ""readme_text"": ""# French podcast generation with GPT4o\n\n\n## Installation\n\n1. Clone the repository or install the package using pip:\n ```bash\n pip install -r requirements.txt\n ```\n\n2. Ensure you have the necessary environment variables set up (if applicable). Use a `.env` file for secure configuration:\n ```plaintext\n OPENAI_API_KEY=your_api_key_here\n ```\n\n---\n\n## Features\n\n- **Language Level Configuration**: Customize responses for different levels of proficiency (e.g., A1, B2).\n- **Vocabulary Integration**: Provide specific terms or phrases to be used in the output.\n- **Session History Management**: Retain the context across multiple interactions using unique session IDs.\n- **Chunked Responses**: Control whether the response is delivered in one go or in smaller chunks.\n\n---\n\n## Usage\n\nYou can either use the `generator.py` module stand-alone or the `server.py` to serve functions in a Flask server.\n\n### Functions\n\n- generate(language, language_level, topic, history, new_words): Create or continue a podcast with or without preferred words.\n- define(word, context): Get the definition of a word within a context."", ""readme_length"": 1120, ""files_root_entries"": [{""path"": "".env.example"", ""type"": ""file"", ""size"": 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This system streamlines the process of managing box production by introducing a centralized, user-friendly interface for monitoring, configuring, and controlling the production line in real time.\n\n# Features\nReal-time Machine Monitoring: Track the current status of the production machine (e.g., speed, temperature, and errors).\n\nProduction Configuration: Customize parameters such as box dimensions, material thickness, and batch size.\n\nError Management: Receive alerts and troubleshoot machine errors efficiently.\n\nPerformance Analytics: View production metrics such as throughput and machine utilization.\n\nHistorical Data: View what happened on specific dates to better understand how it's going.\n\n# Tech Stack\n\n## Frontend:\n\n## Backend:\n\n## Database:\n\n## Hardware Integration:\n\nRaspberry Pi 5 for machine communication.\n\n# How to use"", ""readme_length"": 1013, ""files_root_entries"": [{""path"": "" - copia.gitignore"", ""type"": ""file"", ""size"": 463}, {""path"": "".eslintrc.json"", ""type"": ""file"", ""size"": 61}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 463}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1014}, {""path"": ""api"", ""type"": ""dir"", ""size"": 0}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""components"", ""type"": ""dir"", ""size"": 0}, {""path"": ""img"", ""type"": ""dir"", ""size"": 0}, {""path"": ""next.config.ts"", ""type"": ""file"", ""size"": 133}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 235052}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 1031}, {""path"": ""postcss.config.mjs"", ""type"": ""file"", ""size"": 135}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""server.js"", ""type"": ""file"", ""size"": 456}, {""path"": ""tailwind.config.ts"", ""type"": ""file"", ""size"": 242}, {""path"": ""tsconfig.json"", ""type"": ""file"", ""size"": 652}], ""files_total_count"": 43, ""dirs_total_count"": 18, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/MakeGreatBox/hardware"", ""owner"": ""MakeGreatBox"", ""repo_name"": ""hardware"", ""repo"": ""hardware"", ""name_with_owner"": ""MakeGreatBox/hardware"", ""url"": ""https://github.com/MakeGreatBox/hardware"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T14:22:51Z"", ""updated_at"": ""2024-12-09T23:45:09Z"", ""pushed_at"": ""2024-12-01T10:55:29Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 11360}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 3, ""first_commit_date_default_branch"": ""2024-12-01T09:28:27Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:55:25Z"", ""last_commit_oid_default_branch"": ""734257e30b888b7ab044b5a813ae1272560fb38f"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""bepes-code"", ""contributions"": 3, ""html_url"": ""https://github.com/bepes-code""}], ""readme_title"": null, ""readme_text"": null, ""readme_length"": null, ""files_root_entries"": [{""path"": ""sensors.py"", ""type"": ""file"", ""size"": 11360}], ""files_total_count"": 1, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +5,Cassadagapp,"A platform for forcasting information based on historical information with AI collaboration and specific medical interpolation, which consider all kind of market aspects for biochemical compounds from sales to side effects, helpful to analyze products with historical info or newl... 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December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +7,Safe Machine Control & Monitoring (Unity+Chatbot),"A real-time 3D interface built in Unity, visualizing a conveyor belt equipped with sensors, and enabling direct control of the machine's state. Integrated with an AI-powered chatbot assistant, the system responds to user queries based also on the machine's current state, providin... (hover for more)",https://github.com/EncryptEx/machine-control-monitoring,"[""Arnau Claramunt"", ""Genís López"", ""Jaume López Molina"", ""Pau Mayench""]","[""Bobst challenge winner""]","[""Bobst challenge winner""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:7,7,Safe Machine Control & Monitoring (Unity+Chatbot),"[""https://github.com/EncryptEx/machine-control-monitoring""]",1,"[{""input_url"": ""https://github.com/EncryptEx/machine-control-monitoring"", ""owner"": ""EncryptEx"", ""repo_name"": ""machine-control-monitoring"", ""repo"": ""machine-control-monitoring"", ""name_with_owner"": ""EncryptEx/machine-control-monitoring"", ""url"": ""https://github.com/EncryptEx/machine-control-monitoring"", ""description"": ""Assembled a 3D printed conveyor belt machine, created a digital-twin in Unity and used a chatbot with a small LLM to also interact with the machine remotely."", ""homepage_url"": """", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:31:49Z"", ""updated_at"": ""2026-01-23T08:31:19Z"", ""pushed_at"": ""2024-12-08T14:54:49Z"", ""stars"": 4, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""C#"", ""languages_top"": [{""language"": ""C#"", ""size"": 227053}, {""language"": ""ShaderLab"", ""size"": 80492}, {""language"": ""Python"", ""size"": 27820}, {""language"": ""Mathematica"", ""size"": 15479}, {""language"": ""HLSL"", ""size"": 13994}, {""language"": ""HTML"", ""size"": 4268}, {""language"": ""Dockerfile"", ""size"": 145}, {""language"": ""Shell"", ""size"": 129}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 49, ""first_commit_date_default_branch"": ""2024-11-30T11:31:50Z"", ""last_commit_date_default_branch"": ""2024-12-08T14:54:49Z"", ""last_commit_oid_default_branch"": ""df97c34ad9d1c01733523a836b51253478d40590"", ""pull_requests_total"": 2, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 2, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""EncryptEx"", ""contributions"": 22, ""html_url"": ""https://github.com/EncryptEx""}, {""login"": ""ArnauCS03"", ""contributions"": 11, ""html_url"": ""https://github.com/ArnauCS03""}, {""login"": ""PauMayench"", ""contributions"": 9, ""html_url"": ""https://github.com/PauMayench""}, {""login"": ""GenisLopez5"", ""contributions"": 5, ""html_url"": ""https://github.com/GenisLopez5""}, {""login"": ""arnau.claramunt"", ""contributions"": 2, ""html_url"": null}], ""readme_title"": ""Machine Control & Monitoring with Unity and AI Chatbot"", ""readme_text"": ""# Machine Control & Monitoring with Unity and AI Chatbot\n\n\""logo\""\n\n[Hackathon](https://lauzhack.com/) EPFL Lausanne, Switzerland
\nNovember 30 - December 1\n---\n## Authors\n- Arnau Claramunt\n- Genís López\n- Jaume López\n- Pay Mayench\n\n[![GitHub followers](https://img.shields.io/github/followers/ArnauCS03?label=ArnauCS03)](https://github.com/ArnauCS03)    \n[![GitHub followers](https://img.shields.io/github/followers/GenisLopez5?label=GenisLopez5)](https://github.com/GenisLopez5)    \n[![GitHub followers](https://img.shields.io/github/followers/EncryptEx?label=EncryptEx)](https://github.com/EncryptEx)    \n[![GitHub followers](https://img.shields.io/github/followers/PauMayench?label=PauMayench)](https://github.com/PauMayench)

\n\n\n---\n\n## Project Overview\n\nThis project is the implementation of the **Bobst Company challenge** presented at the LauzHack24 Hackathon. We assembled a 3D printed conveyor belt machine, represent the virtual model in Unity and use a chatbot with a small LLM to also interact with the machine.\n\n**Key Features**: \n- **3D-Printed Conveyor Belt** controlled by a Raspberry Pi. \n- Real-time data collection (speed, box counter, energy usage). \n- AI-powered chatbot for troubleshooting and monitoring via **Ollama's Llama 3.2**. \n- Interactive HMI built in **Unity** for real-time control and visualization. \n- Dockerized architecture for easy deployment.\n- Bridge between Unity and Ollama with FastAPI.\n\n\n---\n\n## 🛠️ Technologies & Tools \n\n| **Component** | **Technology** | **Purpose** |\n|----------------------|-------------------|-----------------------------------------------|\n| **Hardware** | Raspberry Pi | Controls conveyor belt and collects metrics. |\n| **Modeling** | Unity | Creates a 3D visualization of the machine. |\n| **API Layer** | FastAPI | Communication between AI and Unity and Unity to Raspberry Pi. |\n| **AI** | Ollama (Llama 3.2)| Context-aware troubleshooting LLM chatbot. |\n| **Deployment** | Docker | Simplified deployment of all components. |\n\n---\n\n## Bob the AI Chatbot \n\n\n\n\nMeet **Bob**, our AI-powered assistant built on **Ollama's Llama 3.2**. Bob is integrated into the system, providing real-time assistance, troubleshooting, and even direct control over the conveyor belt.\n\n---\n\n### 🧠 How Bob Works \n\n1. **Understand Context**: \n Bob uses the machine's current state (e.g., motor status, speed, output metrics) as context for user interactions.\n\n2. **Interpret User Queries**: \n Natural language queries are passed to Bob along with the machine state for precise and actionable responses.\n\n3. **Execute Actions**: \n When appropriate, Bob translates its recommendations into **machine actions** via API calls to the Unity that then calls the Raspberry Pi.\n\n\n
\n\n\n## 🔮 Future Improvements\n- Add more sensors for enhanced data insights.\n- Introduce predictive maintenance using AI.\n- Expand HMI with detailed production analytics.\n\n
\n\n---\n\n### Screenshots\n\nConveyor belt machine:\n![IMG20241201111510](https://github.com/user-attachments/assets/a1c6302c-2a39-4ec9-8342-4851ba1c60b9)\n\n\nThe machine operates with a safety feature that performs a secure stop to prevent accidents when a hand is detected near the belt:\n\n\nhttps://github.com/user-attachments/assets/0fd7f19d-bdc7-44b0-82ea-ef1dd0de94f4\n\n\n\nUnity interface:\n![Captura_5](https://github.com/user-attachments/assets/ef5957ea-d579-46e6-9464-a22fba821c0b)\n![aimage](https://github.com/user-attachments/assets/7947538a-e56b-42aa-b0e9-361fe7e13a50)\n\n\nAPI for talking to the Raspberry Pi 5:\n![Screenshot from 2024-12-01 04-36-22](https://github.com/user-attachments/assets/71442875-a2fd-4d2d-a9a7-f798587fd7a7)\n\n\n\n
\n\n---\n\n### Setup instructions\n\n1. Clone the Repository: \n```bash\ngit clone git@github.com:EncryptEx/machine-control-monitoring.git\ncd machine-control-monitoring\n```\n\n2. Build and run Dockers containers: (form the `chatbot_api` folder)\n```bash\ndocker-compose up --build\n```\n\n3. Launch Unity Application:
\nOpen the Unity project in your IDE and run the scene.\n\n4. Interact with Bob:
\nUse the chatbot interface in Unity to troubleshoot and control the conveyor.\n\n\n

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For example the input is (1) satellite image of storage tanks, (2) a question about the image, e.g. “how many storage tanks are there with >5m diameter”?. LLM acts as an expert to response... (hover for more)",https://github.com/MikiVanousek/vitol,"[""Jakhongir Saydaliev"", ""Kamel Charaf"", ""Mikuláš Vanoušek"", ""Sébastien Delsad""]","[""AXA challenge winner""]","[""AXA challenge winner""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:10,10,"Any Question, Any Place","[""https://github.com/MikiVanousek/vitol""]",1,"[{""input_url"": ""https://github.com/MikiVanousek/vitol"", ""owner"": ""MikiVanousek"", ""repo_name"": ""vitol"", ""repo"": ""vitol"", ""name_with_owner"": ""MikiVanousek/vitol"", ""url"": ""https://github.com/MikiVanousek/vitol"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:02:14Z"", ""updated_at"": ""2025-11-04T17:05:54Z"", ""pushed_at"": ""2024-12-04T20:20:28Z"", ""stars"": 2, ""forks"": 4, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 20375579}, {""language"": ""Python"", ""size"": 317650}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 150, ""first_commit_date_default_branch"": ""2022-10-24T22:01:28Z"", ""last_commit_date_default_branch"": ""2024-12-04T20:20:27Z"", ""last_commit_oid_default_branch"": ""5008ae41b33cfb1eb3dad59e210477fe4e2559b3"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""andolg"", ""contributions"": 46, ""html_url"": ""https://github.com/andolg""}, {""login"": ""theS3b"", ""contributions"": 40, ""html_url"": ""https://github.com/theS3b""}, {""login"": ""MikiVanousek"", ""contributions"": 29, ""html_url"": ""https://github.com/MikiVanousek""}, {""login"": ""Jakhongir0103"", ""contributions"": 26, ""html_url"": ""https://github.com/Jakhongir0103""}, {""login"": ""charafkamel"", ""contributions"": 9, ""html_url"": ""https://github.com/charafkamel""}], ""readme_title"": ""Description"", ""readme_text"": ""![](img/thumbnail_hackathon_2.jpg)\n© 2024 OpenAI\n\n# Description\n**Any Question Any Place** is an AI-powered platform that combines Large Language Models (LLM) and Computer Vision (CV) to analyze satellite imagery interactively. \n\n### How it works:\n1. **Input**: \n - A satellite image (e.g., of storage tanks)\n - A natural language question about the image (e.g., \""How many storage tanks have a diameter greater than 5m?\"")\n\n2. **Processing**:\n - The LLM acts as an expert interpreter\n - It analyzes the user's question\n - It selects and calls appropriate computer vision tools \n - It post-processes the output before generating a human-friendly responses\n\n3. **Features**:\n - Supports various interpretation tasks using specialized remote sensing datasets\n - Uses image captioning to help the LLM better understand satellite imagery context\n - Provides natural language responses to complex visual queries\n\nThis platform bridges the gap between technical satellite image analysis and user-friendly interaction, allowing anyone to extract insights from satellite imagery through simple questions.\n\n# Use cases\n### Objects\n**Supported classes:**\n\nplane, ship, storage tank, ground track field, large vehicle, small vehicle, helicopter\n\n**Question Examples:**\n\n- How many ships are there in the image? *(count)*\n- How many storage tanks are there with a diameter above 5m? *(count with constranting on size)*\n- How many planes are in the image? *(if non-existing object, is not counted)*\n- How many cars are there in the image? *(non-supported classes are responded by GPT-4o mini)*\n- How many cars are there that are not parked?\n\n### Fields\n**Supported classes:**\n\nurban land, agriculture, rangeland, forest land, water, barren land\n\n**Question: Examples**\n\n- What is the area of agricultural land/forest? *(deforestation analysis)*\n- What is the ratio of water in the image?\n- What occupies the largest area in the image?\n\n### Solar\n\n**Question Example:**\n\n- What is the coverage of the solar panels in the image?\n\n**Any type of questions not mentioned above will be answered by GPT-4o mini**\n\n# Demonstration\n![](img/cars.png)\nCounting with specifications\n\n![](img/diameter.png)\nCounting with constrating on diameter\n\n![](img/threshold.png)\nThesholding on uncertainty\n\n![](img/big%20ships.png)\nCounting big ships\n\n![](img/forest.png)\nArea in square meter of the forest in an image (you could ask e.g. area of water, urban land, agriculture)\n\n![](img/solar_panels.png)\nArea in square meter of solar panels\n\n# Usage\n### Install dependencies\n```\nconda env create -f environment.yml\n```\n\n### Structure\n```\nvitol/\n├── app.ipynb\n├── backend # CV models\n├── bot # LLM around CV models\n├── sattelite_downloader # Sattelite image downloader\n├── app.ipynb # Demo on Gradio\n```\n\n# Contributers:\n- [Mikuláš Vanoušek](https://github.com/MikiVanousek)\n- [Jakhongir0103](https://github.com/Jakhongir0103)\n- [Sébastien Delsad](https://github.com/theS3b)\n- [Kamel Charaf](https://github.com/charafkamel)"", ""readme_length"": 3240, ""files_root_entries"": [{""path"": "".env.example"", ""type"": ""file"", ""size"": 15}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3236}, {""path"": "".gradio"", ""type"": ""dir"", ""size"": 0}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1063}, {""path"": ""Previous Locations Creator.ipynb"", ""type"": ""file"", ""size"": 18037852}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3276}, {""path"": ""app.ipynb"", ""type"": ""file"", ""size"": 482298}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""bot"", ""type"": ""dir"", ""size"": 0}, {""path"": ""environment.yml"", ""type"": ""file"", ""size"": 7518}, {""path"": ""img"", ""type"": ""dir"", ""size"": 0}, {""path"": ""location.py"", ""type"": ""file"", ""size"": 9028}, {""path"": ""sattelite_downloader"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tiles"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 770, ""dirs_total_count"": 34, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +11,The SBB team,SBB object information restructuring,https://gitlab.epfl.ch/jzgragge/lauzhack_sbb,"[""Bruno Lazarini"", ""Jan Zgraggen"", ""Jonas Sulzer"", ""Julian Levkov""]","[""SBB challenge winner""]","[""SBB challenge winner""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:11,11,The SBB team,[],0,[],2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +12,UBSolver,We have implemented a simple NN model to solve the Entity Resolution Challenge that requires very little computation power,https://github.com/stefanoviel/ubsChallenge,"[""Alessandro Dalbesio"", ""Matteo Santelmo"", ""Stefano Viel""]","[""UBS challenge winner""]","[""UBS challenge winner""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:12,12,UBSolver,"[""https://github.com/stefanoviel/ubsChallenge""]",1,"[{""input_url"": ""https://github.com/stefanoviel/ubsChallenge"", ""owner"": ""stefanoviel"", ""repo_name"": ""ubsChallenge"", ""repo"": ""ubsChallenge"", ""name_with_owner"": ""stefanoviel/ubsChallenge"", ""url"": ""https://github.com/stefanoviel/ubsChallenge"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:42:36Z"", ""updated_at"": ""2024-12-01T11:08:56Z"", ""pushed_at"": ""2024-12-01T11:08:53Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 69257}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-12-01T06:36:02Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:08:52Z"", ""last_commit_oid_default_branch"": ""49fac953f7fcd8f8f52316dcc1f82b141d34fd4b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""alessandrodalbesio"", ""contributions"": 3, ""html_url"": ""https://github.com/alessandrodalbesio""}, {""login"": ""stefanoviel"", ""contributions"": 1, ""html_url"": ""https://github.com/stefanoviel""}], ""readme_title"": ""UBSolver"", ""readme_text"": ""# UBSolver\nIn this challenge we have tried to solve the problem proposed by UBS about the Entity Resolution Challenge.
\nOur solution is very time efficient and has a very good performance on the test dataset provided (we got a F-score of 0.87).\n\n## Code structure\nThe code can be is in the main.ipynb file and it includes:\n- A cleaning section: we have used some rules to clean the data and reduce the number of samples.\n- A processing section: we compute some similarity metrics that we are then going to use to match the samples.\n- A matching section: we match together similar samples with a graph-based approach.\n\n## The idea\nThe main ideas that we have used are:\n- Since we are in a case with lots of data (bilions!) we need to reduce them to avoid too high computational costs. For this reason we matched together samples that are clearly the same (i.e. IBAN, name, address, etc.). This was inspired by the observatin that almost all the transaction from a common entity matched on at least one of the features.
\n- For every pair of matched elements we compute the Levenshtein similarity (all the features are strings) is computed for every feature.
\n- We trained a Neural Network to predict if two samples are the same or not based on the similarity scores computed before. This neural network is very simple since it's a multi-layer perceptron with 2 hidden layers (100 - 50 neurons).
\n- Finally we created a graph on the test set and we used the trained Neural Network to match together samples that are similar. Another important observation which allowed us to efficiently create the set was to discard the values which appeared too often as they weren't significant to match the entities.
\n- Each strongly connected component of the graph is an entity representing a person or a company.\n\n## The team\nOur team:\n- Matteo Santelmo matteo.santelmo@epfl.ch\n- Alessandro Dalbesio alessandro.dalbesio@epfl.ch\n- Stefano Viel stefano.viel@epfl.ch"", ""readme_length"": 1969, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 6148}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 5}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1969}, {""path"": ""main.ipynb"", ""type"": ""file"", ""size"": 69257}], ""files_total_count"": 4, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +13,UBS - Lauzhack,"UBS, one of the world’s leading global banks, processes millions of transactions daily. Each of these transactions involves external counterparties—other entities that UBS clients transact with. But here's the catch: these counterparties often appear under different names, identi... (hover for more)",https://github.com/nastiapetrovych/UBS_Lauzhack,"[""Abhijeet Sharma"", ""Anastasiia Petrovych"", ""Anna Polova"", ""Wafiq Chahboun""]","[""UBS pitching award""]","[""UBS pitching award""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:13,13,UBS - Lauzhack,"[""https://github.com/nastiapetrovych/UBS_Lauzhack""]",1,"[{""input_url"": ""https://github.com/nastiapetrovych/UBS_Lauzhack"", ""owner"": ""nastiapetrovych"", ""repo_name"": ""UBS_Lauzhack"", ""repo"": ""UBS_Lauzhack"", ""name_with_owner"": ""nastiapetrovych/UBS_Lauzhack"", ""url"": ""https://github.com/nastiapetrovych/UBS_Lauzhack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:12:29Z"", ""updated_at"": ""2024-12-15T15:28:32Z"", ""pushed_at"": ""2024-12-01T11:03:14Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 20228906}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-12-01T10:56:52Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:03:13Z"", ""last_commit_oid_default_branch"": ""9cb72a3d5b522c04a41dd44128d5b80ee6c5e0b2"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""nastiapetrovych"", ""contributions"": 3, ""html_url"": ""https://github.com/nastiapetrovych""}, {""login"": ""mowachab"", ""contributions"": 1, ""html_url"": ""https://github.com/mowachab""}], ""readme_title"": ""Team members: Anastasiia Petrovych, Anna Polova, Abhijeet Sharma, Wafiq Chahboun"", ""readme_text"": ""Team members: Anastasiia Petrovych, Anna Polova, Abhijeet Sharma, Wafiq Chahboun"", ""readme_length"": 80, ""files_root_entries"": [{""path"": ""Final_solution.ipynb"", ""type"": ""file"", ""size"": 20228906}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 81}], ""files_total_count"": 2, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +14,PizzaClusterMandolino,We use a pretrained sentence-transformer to embed the external users data and then apply clustering techniques over the embeddings in order to group external parties,https://lauzhack.azurewebsites.net/admin/None,"[""Alex Colagrande"", ""Eugenio Cainelli"", ""Lorenzo Luccioli"", ""Michele Smaldone""]","[""UBS innovation award""]","[""UBS innovation award""]",LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:14,14,PizzaClusterMandolino,[],0,[],2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +15,AgriView,Agricultural chatbot capable of monitoring fields.,https://github.com/tferracina/agriviewer,"[""Umut Tuna Akgül"", ""George Morris"", ""Lucas Ertugrul"", ""Tommaso Ferracina""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:15,15,AgriView,"[""https://github.com/tferracina/agriviewer""]",1,"[{""input_url"": ""https://github.com/tferracina/agriviewer"", ""owner"": ""tferracina"", ""repo_name"": ""agriviewer"", ""repo"": ""agriviewer"", ""name_with_owner"": ""tferracina/agriviewer"", ""url"": ""https://github.com/tferracina/agriviewer"", ""description"": ""LauzHack 2024 Submission"", ""homepage_url"": """", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:41:16Z"", ""updated_at"": ""2024-12-10T10:00:43Z"", ""pushed_at"": ""2024-12-02T15:58:41Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 7202679}, {""language"": ""Python"", ""size"": 46367}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 45, ""first_commit_date_default_branch"": ""2024-11-30T17:45:25Z"", ""last_commit_date_default_branch"": ""2024-12-02T15:58:38Z"", ""last_commit_oid_default_branch"": ""cabb95cdef69a07b18c1fa3c3e8eb564c66adc20"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 1, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""tferracina"", ""contributions"": 32, ""html_url"": ""https://github.com/tferracina""}, {""login"": ""Gmo23"", ""contributions"": 7, ""html_url"": ""https://github.com/Gmo23""}, {""login"": ""1uc0s"", ""contributions"": 5, ""html_url"": ""https://github.com/1uc0s""}, {""login"": ""Thuna-Cing"", ""contributions"": 1, ""html_url"": ""https://github.com/Thuna-Cing""}], ""readme_title"": ""Agriview"", ""readme_text"": ""# Agriview\n\n## The intersection of computer vision and LLM's. A chatbot designed to convey information on fields using semantic segmentation on satelite imagery. \n\nAgriview is an agricultural intelligence platform that leverages satellite imagery, computer vision, and large language models to provide actionable insights for farmers, traders or land surveyors.\n\n### Problem Statement\n\nAgricultural decision-making requires complex data analysis from satellite imagery. Agriview simplifies this process by translating complex satellite data into understandable, actionable insights.\n\n\n### Technologies\n\n - Satellite Data Acquisition: Copernicus Browser (Sentinel-2)\n - Segmentation model: Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks (https://github.com/VSainteuf/utae-paps?tab=readme-ov-file)\n - Image Processing: Rasterio\n - AI Interaction: LlamaIndex\n - Computer Vision: Custom crop field segmentation model\n - Language Model: LLAMA 8B Instruct\n\n### Key Features\n- Intelligent Data Parsing\n- Converts plain text instructions into computational variables\n- Uses LLAMA 8B Instruct model for precise instruction parsing\n\n#### Satellite Image Analysis\n\n- Segments crop fields from satellite time series data\n- Identifies and masks different crop types\n- Calculates agricultural metrics (e.g., moisture index)\n\n#### Retrieval-Augmented Generation (RAG)\n\n- Stores and references previous query information\n- Enables multi-year comparative analysis\n\n### Workflow\n\n- Input: User provides a natural language query\n- Parsing: LLAMA model transforms query into actionable variables\n- Image Processing: Computer vision model analyzes satellite imagery\n- Metric Calculation: Extracts relevant agricultural metrics\n- Insight Generation: LLM provides contextualized, actionable insights\n\n#### Example Use Case\nQuery: \""What's the agricultural outlook for wheat in Kentucky this season?\""\n\nResponse: \""The average moisture NDMI of wheat fields at this time of year in Kentucky is [X], indicating a high yield compared to previous years where it was [Y].\""\n\n\n### Future Roadmap\n\n - Enhanced segmentation models\n - Expanded crop and region coverage\n - More advanced predictive analytics\n - Time series data for historic analysis"", ""readme_length"": 2264, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 114}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2267}, {""path"": ""SegandAnalysis.ipynb"", ""type"": ""file"", ""size"": 3146950}, {""path"": ""config.py"", ""type"": ""file"", ""size"": 590}, {""path"": ""cv_analyzer.py"", ""type"": ""file"", ""size"": 4058}, {""path"": ""llm_engine.py"", ""type"": ""file"", ""size"": 8240}, {""path"": ""llme_instructions.py"", ""type"": ""file"", ""size"": 3072}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 6079}, {""path"": ""ph_instructions.py"", ""type"": ""file"", ""size"": 953}, {""path"": ""prompt_handler.py"", ""type"": ""file"", ""size"": 4136}, {""path"": ""req.txt"", ""type"": ""file"", ""size"": 2100}, {""path"": ""results_parser.py"", ""type"": ""file"", ""size"": 2987}, {""path"": ""satelliteload.ipynb"", ""type"": ""file"", ""size"": 4055729}, {""path"": ""streamlit_app.py"", ""type"": ""file"", ""size"": 10528}, {""path"": ""streamlit_visualizer.py"", ""type"": ""file"", ""size"": 1805}, {""path"": ""visualizer.py"", ""type"": ""file"", ""size"": 3919}], ""files_total_count"": 16, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +16,Andy,Team andy,https://github.com/Sagar-CK/ubs-lauzhack,"[""Atilla Colak"", ""Manu Gautam"", ""Neel Lodha"", ""Sagar Chethan Kumar""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:16,16,Andy,"[""https://github.com/Sagar-CK/ubs-lauzhack""]",1,"[{""input_url"": ""https://github.com/Sagar-CK/ubs-lauzhack"", ""owner"": ""Sagar-CK"", ""repo_name"": ""ubs-lauzhack"", ""repo"": ""ubs-lauzhack"", ""name_with_owner"": ""Sagar-CK/ubs-lauzhack"", ""url"": ""https://github.com/Sagar-CK/ubs-lauzhack"", ""description"": ""team andy"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:33:32Z"", ""updated_at"": ""2024-12-01T11:05:22Z"", ""pushed_at"": ""2024-12-01T11:05:18Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 407950}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-12-01T11:00:22Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:05:15Z"", ""last_commit_oid_default_branch"": ""b468cb75e08c002b2eb1d3d475d647bc4c9068a1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""Sagar-CK"", ""contributions"": 4, ""html_url"": ""https://github.com/Sagar-CK""}], ""readme_title"": ""LauzHack - 2024"", ""readme_text"": ""# LauzHack - 2024 \n## Team Andy\n> Members: Neel Lodha, Manu Gautam, Sagar Chethan Kumar, Atilla Colak\n\nThis repository contains the solution for the LauzHack 2024 hackathon UBS challenge. We document our exploratory data analysis, model building, and submission process in this repository.\n\nThanks to the challenge organizers for providing us with the opportunity to work on this interesting problem statement!\n\n*Note: The contents of the `data/` directory have been omitted from this repository due to the large file sizes. If trying to replicate, please source the ubs challenge files and place them in the root `data/` directory before running the code.*"", ""readme_length"": 657, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 657}, {""path"": ""ubs_lauzhack_andy.ipynb"", ""type"": ""file"", ""size"": 407950}], ""files_total_count"": 2, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +17,AnimInk: Collaborative MR Character Animation,"An immersive mixed reality (MR) application for character animation prototyping. Animators use the Logitech MX Ink stylus to interact with 3D models of a character, selecting and annotating body parts. Multiple animators can collaborate together in real-time on the same mesh. Th... (hover for more)",https://github.com/Dylan-vrl/AnimInk,"[""Dylan Vairoli"", ""Tuan Dang Nguyen""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:17,17,AnimInk: Collaborative MR Character Animation,"[""https://github.com/Dylan-vrl/AnimInk""]",1,"[{""input_url"": ""https://github.com/Dylan-vrl/AnimInk"", ""owner"": ""Dylan-vrl"", ""repo_name"": ""AnimInk"", ""repo"": ""AnimInk"", ""name_with_owner"": ""dyvrl/AnimInk"", ""url"": ""https://github.com/dyvrl/AnimInk"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-12-01T10:07:33Z"", ""updated_at"": ""2024-12-01T10:26:08Z"", ""pushed_at"": ""2024-12-01T10:26:04Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""C#"", ""languages_top"": [{""language"": ""C#"", ""size"": 3586317}, {""language"": ""ShaderLab"", ""size"": 85491}, {""language"": ""JavaScript"", ""size"": 33707}, {""language"": ""Objective-C++"", ""size"": 27504}, {""language"": ""Mathematica"", ""size"": 15479}, {""language"": ""HLSL"", ""size"": 13994}, {""language"": ""Objective-C"", ""size"": 1156}, {""language"": ""C"", ""size"": 1118}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-12-01T10:07:25Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:26:01Z"", ""last_commit_oid_default_branch"": ""28ca562fc2b41d0f87f025ef840c6119e832cdee"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""dyvrl"", ""contributions"": 4, ""html_url"": ""https://github.com/dyvrl""}], ""readme_title"": ""AnimInk"", ""readme_text"": ""# AnimInk\n\nAnimInk s an innovative VR application that enables users to collaborate in real-time by interacting with shared 3D models and draw annotations thanks to the MX Ink stylus. \nDesigned for creative and interactive experiences, the app leverages the Meta XR SDK for immersive VR functionality and Fusion 2 for seamless multiplayer networking.\n\nIt has been primarily designed for 3D animators. Using VR to quickly prototype the poses of your animations allows the animator to get a better perspective over their\n3D model. The stylus provides a precise interaction with the mesh and allows for an efficiient collaboration thanks to annotations.\n\n## Features\n- Real-Time Collaboration: Multiple users can interact with the same 3D environment simultaneously.\n- MX Ink Stylus Integration: Use the stylus for all interactions, including:\n - Grabbing IK Targets: Move targets to manipulate models and match specific poses.\n - Drawing: Create 3D sketches in the VR space.\n\n## Requirements\n\n- Meta Quest 2, 3 or 3S\n- MX Ink stylus\n- Unity 2022.3.X\n- Meta XR SDK (pre-installed)\n- Fusion 2 (pre-configured)\n\n## Get started:\n- Download this repo and open it in Unity\n- Set Up Fusion 2:\n - Ensure you have an active Fusion 2 account.\n - Configure the Photon settings with your app's unique ID in the Fusion Dashboard.\n- Build the game\n- Upload the apk to your headset (which is paired to the stylus)\n\n## Usage\n- The front button is used to grab objects in range. Blue boxes are all grabbable.\n- The middle button is used to draw.\n- Alternately, tip can be used to draw\n- Click on the back button to confirm your drawing. You can then move it using the newly created blue box."", ""readme_length"": 1676, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 1327}, {""path"": ""Assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""LICENSE.txt"", ""type"": ""file"", ""size"": 1064}, {""path"": ""Packages"", ""type"": ""dir"", ""size"": 0}, {""path"": ""ProjectSettings"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1677}, {""path"": ""RuntimeActionBindings.json"", ""type"": ""file"", ""size"": 1790}], ""files_total_count"": 2344, ""dirs_total_count"": 338, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +18,appill,App to control the status of a person with hipertension and controll pill intake.,https://github.com/lola-monroy/AXA_LauzHack,"[""Neus Mayol Alcaraz"", ""Álvaro Domingo"", ""Lola Monroy Mir"", ""Maria Gil Casas""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:18,18,appill,"[""https://github.com/lola-monroy/AXA_LauzHack""]",1,"[{""input_url"": ""https://github.com/lola-monroy/AXA_LauzHack"", ""owner"": ""lola-monroy"", ""repo_name"": ""hypertension_appill"", ""repo"": ""AXA_LauzHack"", ""name_with_owner"": ""lola-monroy/hypertension_appill"", ""url"": ""https://github.com/lola-monroy/hypertension_appill"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:29:52Z"", ""updated_at"": ""2024-12-09T23:42:22Z"", ""pushed_at"": ""2024-12-01T12:48:52Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""TypeScript"", ""languages_top"": [{""language"": ""TypeScript"", ""size"": 42145}, {""language"": ""Python"", ""size"": 11569}, {""language"": ""MATLAB"", ""size"": 5160}, {""language"": ""JavaScript"", ""size"": 2700}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 75, ""first_commit_date_default_branch"": ""2024-11-30T15:42:46Z"", ""last_commit_date_default_branch"": ""2024-12-01T12:48:43Z"", ""last_commit_oid_default_branch"": ""4ebdb640268c687b13c6bddfc5f06497ce885cee"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""lola-monroy"", ""contributions"": 28, ""html_url"": ""https://github.com/lola-monroy""}, {""login"": ""mgil4"", ""contributions"": 20, ""html_url"": ""https://github.com/mgil4""}, {""login"": ""nmayol"", ""contributions"": 18, ""html_url"": ""https://github.com/nmayol""}, {""login"": ""alvarodr21"", ""contributions"": 9, ""html_url"": ""https://github.com/alvarodr21""}], ""readme_title"": ""APPILL"", ""readme_text"": ""# APPILL\n# Medication and Tension Monitoring App\nThis project is designed to assist elderly users in managing their medication and monitoring health data through a cross-platform mobile app. It integrates pill shape detection, hypertension prediction, and smartwatch data simulation.\n## Key Features\n- **Add Medication Information**: Users can add basic information like dosage, and schedule.\n- **Verify Medication Taken**: By taking a picture of the pill, the app will apply computer vision operations to ensure that the correct pill has been taken.\n- **Secure Data Storage**: We store user data in a secure way, localy, to ensure privacy.\n- **Hypertension Risk Prediction**: Machine learning model predicts the likelihood of hypertension using health metrics, keeping them simple without doing overkill.\n- **Smartwatch Data Simulation**: Generates simulated health data, including heart rate, variability, and steps, for health tracking and alerts.\n\n## Technologies Used\n- **React Native:** For building a cross-platform mobile app with a simple and intuitive interface, designed for elderly users.\n- **MATLAB (Image Processing):** Used to prototype pill recognition algorithms based on basic morphological operations like erosions and contour detection. Later converted to a python script for better manipulation. \n- **Python:** Backend implementation of image processing algorithms, transitioning from MATLAB for better integration with the app and scalability.\n\n## File structure\n### Main Project\n- apill/: app, components, assets, hooks, scripts: Mobile app code written in React Native.\n package.json & package-lock.json: Dependency management for the mobile app​\n- tsconfig.json: TypeScript configuration for the app.\n- README.md: Documentation for the project\n\n### Counting pills\n- count_python.py: Script for detecting and counting pills using OpenCV and scikit-image​\n- pillX.jpeg: Sample pill images for testing.\n- count_matlab.m & count_matlab_note.mlx: MATLAB scripts for prototyping pill recognition algorithms.\n\n### Hypertension prediction\n- data_hypertension/hypertension_data.csv: Dataset for training the hypertension prediction model.\ntension/:\n- hypertension_model.h5: Saved trained model.\n- model_training.py: Model training script using TensorFlow/Keras​\n- prediccions.py: Flask API for making predictions​\n- scaler.save: Scaler object for data normalization.\n\n### Smartwatch simulation \n- smartwatch.py: Simulates smartwatch data for health metrics like heart rate and steps​.\n\n## Future Improvements\n- **Accessibility Features**: Provide audio instructions for better accessibility.\n- **Take the photo on the spot**: Instead of having to upload it from computer.\n\n\n## Contributing\nIf you want to contribute, please fork the repository, make your changes, and submit a pull request. We welcome all improvements and suggestions!\n\n## License\nThis project is licensed under the MIT License."", ""readme_length"": 2918, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 19}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2930}, {""path"": ""annotated_pill_image.png"", ""type"": ""file"", ""size"": 133207}, {""path"": ""appill"", ""type"": ""dir"", ""size"": 0}, {""path"": ""count_point_pills"", ""type"": ""dir"", ""size"": 0}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 91}, {""path"": ""pill_count_results.json"", ""type"": ""file"", ""size"": 126}, {""path"": ""scaler.save"", ""type"": ""file"", ""size"": 677}, {""path"": ""tension"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 66, ""dirs_total_count"": 16, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +19,B-Helper,B-Helper is an app that helps supervisors control production line data and sends important (really urgent and thus very rare) info to supervisors when they are off-duty,https://github.com/tulga-rdn/b-helper/,"[""Fakhriyya Mammadova"", ""Tulga-Erdene Sodjargal""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:19,19,B-Helper,"[""https://github.com/tulga-rdn/b-helper""]",1,"[{""input_url"": ""https://github.com/tulga-rdn/b-helper"", ""owner"": ""tulga-rdn"", ""repo_name"": ""b-helper"", ""repo"": ""b-helper"", ""name_with_owner"": ""tulga-rdn/b-helper"", ""url"": ""https://github.com/tulga-rdn/b-helper"", ""description"": ""B-Helper is an app that helps supervisors control production line data and sends important (really urgent and thus very rare) info to supervisors when they are off-duty"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-12-01T10:40:23Z"", ""updated_at"": ""2024-12-01T13:50:10Z"", ""pushed_at"": ""2024-12-01T13:50:07Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 17938}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2024-12-01T10:40:23Z"", ""last_commit_date_default_branch"": ""2024-12-01T13:50:07Z"", ""last_commit_oid_default_branch"": ""034803139858dfee3482cfd626f7b8968958d459"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""tulga-rdn"", ""contributions"": 5, ""html_url"": ""https://github.com/tulga-rdn""}], ""readme_title"": ""B-Helper"", ""readme_text"": ""# B-Helper\n\n**B-Helper** is a production line monitoring app designed for supervisors. It allows them to track and control production line data efficiently and ensures critical alerts are sent to supervisors, even when they are off-duty. This helps streamline production processes, monitor machine health, and handle rare yet urgent issues without delay.\n\n---\n\n## Features\n\n- **Real-Time Telemetry**: Sends live telemetry data about production, including machine state, speed, and output counts, via Azure IoT Hub.\n- **Error Handling and Alerts**:\n - Detects production line errors (e.g., oversized boxes, sensor mismatches) and sends alerts via Discord.\n - Handles unexpected machine stoppages and informs supervisors immediately.\n- **Production Control**:\n - Monitors object detection and box sizes using IR and ultrasonic sensors.\n - Controls motor speeds and manages machine start/stop operations programmatically.\n- **Hardware Integration**:\n - Utilizes GPIO, PWM, and current sensors (INA219) for physical production line monitoring.\n - Sends detailed telemetry to Azure IoT Hub for further analysis.\n\n---\n\n## Architecture\n\n1. **IoT Communication**: Data is sent to Azure IoT Hub using the `IoTHubDeviceClient` library.\n2. **Alerts System**: Alerts are sent via Discord using Webhooks for both telemetry updates and critical errors.\n3. **Sensor Systems**:\n - **IR Sensors**: Tracks object detection and logs production output.\n - **Ultrasonic Sensors**: Monitors object proximity to ensure size compliance.\n - **Current Sensors**: INA219-based current monitoring for machine health.\n\n---\n\n## Installation\n\n### Prerequisites\n\n1. Python 3.8+\n2. Required libraries:\n - `azure.iot.device`\n - `lgpio`\n - `requests`\n - `adafruit-ina219` (for current sensing)\n3. IoT Hub Connection String and Discord Webhook URL.\n\n### Setup\n\n1. Clone the repository:\n ```bash\n git clone https://github.com/tulga-rdn/b-helper/\n cd b-helper\n ```\n\n2. Install dependencies.\n\n3. Configure your connection settings:\n - Update the `CONNECTION_STRING` and `DISCORD_WEBHOOK_URL` placeholders in `main.py`.\n\n4. Run the application:\n ```bash\n python main.py\n ```\n\n---\n\n## Usage\n\n- **Starting the Application**: Running `main.py` starts the motor and enables the IR and ultrasonic sensors to monitor production.\n- **Alerts**:\n - Alerts are sent via Discord when:\n - Machine starts/stops unexpectedly.\n - Errors such as oversized boxes or sensor mismatches are detected.\n - Alerts are configured in `test_discord.py` and `test_error.py`.\n\n---\n\n## Key Modules\n\n1. **`main.py`**: Core logic for telemetry, sensor integration, and IoT Hub communication.\n2. **`test_ir.py`**: Handles IR sensor-based object detection.\n3. **`test_us.py`**: Manages ultrasonic sensor operations for proximity monitoring.\n4. **`test_irus.py`**: Integrates both IR and ultrasonic sensors for comprehensive monitoring.\n5. **`test_iot.py`**: Tests IoT Hub communication and telemetry functions.\n6. **`test_curr.py`**: Reads current measurements from the INA219 sensor.\n7. **`test_bigmotor.py`**: Manages motor control operations for production.\n\n---\n\n## Future Enhancements\n\n- Improved analytics and dashboards via Azure IoT Central.\n- Machine learning models for predictive maintenance and anomaly detection.\n- Additional notification channels (e.g., SMS or email).\n\n## Contributors\n\n- Tulga-Erdene Sodjargal\n- Fakhriyya Mammadova\n\n---"", ""readme_length"": 3423, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3139}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3424}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 5595}, {""path"": ""test_bigmotor.py"", ""type"": ""file"", ""size"": 540}, {""path"": ""test_curr.py"", ""type"": ""file"", ""size"": 433}, {""path"": ""test_discord.py"", ""type"": ""file"", ""size"": 1241}, {""path"": ""test_error.py"", ""type"": ""file"", ""size"": 1230}, {""path"": ""test_iot.py"", ""type"": ""file"", ""size"": 3423}, {""path"": ""test_ir.py"", ""type"": ""file"", ""size"": 750}, {""path"": ""test_irus.py"", ""type"": ""file"", ""size"": 3293}, {""path"": ""test_us.py"", ""type"": ""file"", ""size"": 1433}], ""files_total_count"": 11, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +20,Bank User Identity Assignment,This project focuses on developing an iterative identity resolution pipeline by matching differents atributes.,https://github.com/YannickDetrois/UBS_LauzHack,"[""David Friou""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:20,20,Bank User Identity Assignment,"[""https://github.com/YannickDetrois/UBS_LauzHack""]",1,"[{""input_url"": ""https://github.com/YannickDetrois/UBS_LauzHack"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'YannickDetrois/UBS_LauzHack'.\""}]"", ""owner"": ""YannickDetrois"", ""repo"": ""UBS_LauzHack""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +21,BMS - Demand forecasting Dashboard,"Our project is an interactive dashboard designed to forecast Bristor's demand volumes and simulate the impact of various marketing events on future demand. By leveraging Facebook's Prophet time series forecasting model and an interactive Dash application, we provide a powerful to... (hover for more)",https://github.com/StefanPetersTM/LauzHack2024,"[""Arthur Prahin"", ""Stefan Peters"", ""Victor Rydmark""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:21,21,BMS - Demand forecasting Dashboard,"[""https://github.com/StefanPetersTM/LauzHack2024""]",1,"[{""input_url"": ""https://github.com/StefanPetersTM/LauzHack2024"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'StefanPetersTM/LauzHack2024'.\""}]"", ""owner"": ""StefanPetersTM"", ""repo"": ""LauzHack2024""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +22,BMS - Health Charts,Health Charts for BMS,https://github.com/VictorPaniello/bms-lauzhack-2024,"[""Gerard Madrid"", ""Lucía Álvarez"", ""Víctor Paniello"", ""Victòria Ferrando""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:22,22,BMS - Health Charts,"[""https://github.com/VictorPaniello/bms-lauzhack-2024""]",1,"[{""input_url"": ""https://github.com/VictorPaniello/bms-lauzhack-2024"", ""owner"": ""VictorPaniello"", ""repo_name"": ""bms-lauzhack-2024"", ""repo"": ""bms-lauzhack-2024"", ""name_with_owner"": ""VictorPaniello/bms-lauzhack-2024"", ""url"": ""https://github.com/VictorPaniello/bms-lauzhack-2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:20:30Z"", ""updated_at"": ""2024-12-09T23:42:32Z"", ""pushed_at"": ""2024-12-01T10:53:15Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 15518}, {""language"": ""Python"", ""size"": 7768}, {""language"": ""CSS"", ""size"": 7076}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 12, ""first_commit_date_default_branch"": ""2024-11-30T13:20:30Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:53:14Z"", ""last_commit_oid_default_branch"": ""b6de60588597284fe2b719e3db0a4ac86ca63441"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""VictorPaniello"", ""contributions"": 9, ""html_url"": ""https://github.com/VictorPaniello""}, {""login"": ""gerardm27"", ""contributions"": 3, ""html_url"": ""https://github.com/gerardm27""}], ""readme_title"": ""or"", ""readme_text"": ""This project is a Next.js application developed to display interactive time series forecasting for the sales data of Bristol Myers Squibb. The primary dataset used for this analysis is INNOVIX_Floresland.xlsx.\n\nFirst of all, we have made an intense preprocessing with Python in order to have all the data in one sheet, instead of having one variable per sheet. With this preprocessing, we have used a KNN in order to impute missing values. Then, three distinct models were explored to forecast the time series:\n\n- Long Short-Term Memory (LSTM): A neural network-based approach suited for sequential data.\n- Exponential Smoothing State Space Model (ETS): A robust statistical method for time series analysis.\n- Autoregressive Integrated Moving Average (ARIMA): A widely-used statistical model for forecasting time-dependent data.\n\nAfter evaluating the performance of these models, ARIMA emerged as the most accurate model. It was subsequently chosen for forecasting the sales data.\n\nWe also have made a webpage in Next.js in where we can upload our data and it will forecast it automatically by connecting to a Node.js backend. You can also change data interactively in the page, and arrange some parameters. It is visually attractive and simple. \n\nIt is a user-friendly interface, designed to be visually attraactive and straightforward.\n\nThis is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).\n\n## Getting Started\n\nFirst, run the development server:\n\n```bash\nnpm run dev\n# or\nyarn dev\n# or\npnpm dev\n# or\nbun dev\n```\n\nOpen [http://localhost:3000](http://localhost:3000) with your browser to see the result.\n\nYou can start editing the page by modifying `app/page.js`. The page auto-updates as you edit the file.\n\nThis project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.\n\n## Learn More\n\nTo learn more about Next.js, take a look at the following resources:\n\n- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.\n- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.\n\nYou can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!\n\n## Deploy on Vercel\n\nThe easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.\n\nCheck out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details."", ""readme_length"": 2796, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 622}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2797}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""jsconfig.json"", ""type"": ""file"", ""size"": 73}, {""path"": ""next.config.mjs"", ""type"": ""file"", ""size"": 92}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 213382}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 705}, {""path"": ""postcss.config.mjs"", ""type"": ""file"", ""size"": 135}, {""path"": ""public"", ""type"": ""dir"", ""size"": 0}, {""path"": ""server.js"", ""type"": ""file"", ""size"": 1020}, {""path"": ""tailwind.config.js"", ""type"": ""file"", ""size"": 366}], ""files_total_count"": 29, ""dirs_total_count"": 6, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +23,BMS Data Provider (by team ber),Forecast drug sales for marketing and logistic purposes,https://github.com/SkinnyPeter/LauzhackBMS.git,"[""Tehini Bourg-Fenner"", ""Matthew Meyer"", ""Mathieu Pardoux"", ""Arshwin Thayananthan""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:23,23,BMS Data Provider (by team ber),"[""https://github.com/SkinnyPeter/LauzhackBMS""]",1,"[{""input_url"": ""https://github.com/SkinnyPeter/LauzhackBMS"", ""owner"": ""SkinnyPeter"", ""repo_name"": ""LauzhackBMS"", ""repo"": ""LauzhackBMS"", ""name_with_owner"": ""SkinnyPeter/LauzhackBMS"", ""url"": ""https://github.com/SkinnyPeter/LauzhackBMS"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:11:07Z"", ""updated_at"": ""2024-12-01T08:25:14Z"", ""pushed_at"": ""2024-12-01T10:46:33Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 53251}, {""language"": ""TypeScript"", ""size"": 5002}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-11-30T14:24:55Z"", ""last_commit_date_default_branch"": ""2024-12-01T08:25:07Z"", ""last_commit_oid_default_branch"": ""dfe404c2cd390c157ba4e2ff80ef7532f28e8bbd"", ""pull_requests_total"": 1, ""pull_requests_open"": 1, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""Matthew Meyer"", ""contributions"": 3, ""html_url"": null}, {""login"": ""SkinnyPeter"", ""contributions"": 1, ""html_url"": ""https://github.com/SkinnyPeter""}], ""readme_title"": ""Salut"", ""readme_text"": ""Salut"", ""readme_length"": 5, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 6}, {""path"": ""components_nav-section.tsx"", ""type"": ""file"", ""size"": 1343}, {""path"": ""components_overview-section.tsx"", ""type"": ""file"", ""size"": 2165}, {""path"": ""components_site-header.tsx"", ""type"": ""file"", ""size"": 1494}, {""path"": ""data_preprocessing.ipynb"", ""type"": ""file"", ""size"": 53251}], ""files_total_count"": 5, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +24,BMS_LSTM,"Our project aims to develop a predictive model for pharmaceutical sales data to enhance supply chain efficiency and minimize shortages. By leveraging machine learning algorithms, we analyze historical sales trends, seasonal variations, and external factors such as regional demand... (hover for more)",https://github.com/Corentin00/sf/settings/access?guidance_task=,"[""Corentin Caillaud"", ""Joseph Bruneau""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:24,24,BMS_LSTM,"[""https://github.com/Corentin00/sf""]",1,"[{""input_url"": ""https://github.com/Corentin00/sf"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'Corentin00/sf'.\""}]"", ""owner"": ""Corentin00"", ""repo"": ""sf""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +25,Boatracker,"We want to give answers to requests such as ""how many boats passed today/yesterday/x day in the last hour""",https://github.com/MatyaAydin/LauzHack2024,"[""Elie BRUNO"", ""Matéo-Francisco Willaime-Freiria"", ""Simon Defrenne"", ""Matya Aydin""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:25,25,Boatracker,"[""https://github.com/MatyaAydin/LauzHack2024""]",1,"[{""input_url"": ""https://github.com/MatyaAydin/LauzHack2024"", ""owner"": ""MatyaAydin"", ""repo_name"": ""LauzHack2024"", ""repo"": ""LauzHack2024"", ""name_with_owner"": ""MatyaAydin/LauzHack2024"", ""url"": ""https://github.com/MatyaAydin/LauzHack2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T14:22:40Z"", ""updated_at"": ""2024-12-01T10:41:46Z"", ""pushed_at"": ""2024-12-01T10:41:42Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 24573}, {""language"": ""Shell"", ""size"": 1033}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 17, ""first_commit_date_default_branch"": ""2024-11-30T14:22:41Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:41:34Z"", ""last_commit_oid_default_branch"": ""47439210744601eec5c61111ed520512326fe4c4"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""BRUNO Elie"", ""contributions"": 9, ""html_url"": null}, {""login"": ""MatyaAydin"", ""contributions"": 6, ""html_url"": ""https://github.com/MatyaAydin""}, {""login"": ""sim"", ""contributions"": 2, ""html_url"": null}], ""readme_title"": ""LauzHack2024"", ""readme_text"": ""# LauzHack2024\n\nVittol challenge\n\n### Team Members:\nMatya Aydin"", ""readme_length"": 63, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3247}, {""path"": "".gitmodules"", ""type"": ""file"", ""size"": 71}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 63}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""csvs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""interface.py"", ""type"": ""file"", ""size"": 6318}, {""path"": ""pic_analyse.py"", ""type"": ""file"", ""size"": 2509}, {""path"": ""prompt.py"", ""type"": ""file"", ""size"": 2145}, {""path"": ""request_openAI.py"", ""type"": ""file"", ""size"": 926}, {""path"": ""runs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""scripts"", ""type"": ""dir"", ""size"": 0}, {""path"": ""simulated_boat_data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""sort"", ""type"": ""file"", ""size"": 0}, {""path"": ""track2.py"", ""type"": ""file"", ""size"": 557}, {""path"": ""video_analyse.py"", ""type"": ""file"", ""size"": 1366}, {""path"": ""yolov8s.pt"", ""type"": ""file"", ""size"": 22588772}], ""files_total_count"": 50, ""dirs_total_count"": 11, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +26,BobCLOUD,"A smart factory solution that connects conveyor operations to the cloud, offering remote control monitoring and real-time analytics","https://github.com/R4oulDuk3/bober%20,%20https://github.com/R4oulDuk3/lauzhack-2024","[""Gavrilo Vojteski"", ""Luka Jeremic"", ""Stefan Savic""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:26,26,BobCLOUD,"[""https://github.com/R4oulDuk3/bober"", ""https://github.com/R4oulDuk3/lauzhack-2024""]",2,"[{""input_url"": ""https://github.com/R4oulDuk3/bober"", ""owner"": ""R4oulDuk3"", ""repo_name"": ""bober"", ""repo"": ""bober"", ""name_with_owner"": ""R4oulDuk3/bober"", ""url"": ""https://github.com/R4oulDuk3/bober"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:52:46Z"", ""updated_at"": ""2024-12-01T12:43:08Z"", ""pushed_at"": ""2024-12-01T12:43:05Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 65680}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 28, ""first_commit_date_default_branch"": ""2024-11-30T11:56:53Z"", ""last_commit_date_default_branch"": ""2024-12-01T12:43:05Z"", ""last_commit_oid_default_branch"": ""6040ff22c500fabf76a31ab1f5356fa560304464"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""R4oulDuk3"", ""contributions"": 26, ""html_url"": ""https://github.com/R4oulDuk3""}, {""login"": ""GavriloV"", ""contributions"": 1, ""html_url"": null}, {""login"": ""shus"", ""contributions"": 1, ""html_url"": null}], ""readme_title"": ""Bober Stack 🦫"", ""readme_text"": ""# Bober Stack 🦫\n### LausHack 2024 - BOBST Challenge Project\n\n## Overview\nBober Stack is a full-stack monitoring and control system developed for BOBST packaging company during LausHack 2024. The project name comes from \""bober\"" (beaver) - our mascot representing BOBST's connection to paper and cardboard packaging.\n\nThe system provides real-time control and monitoring of a miniature Arduino-operated packaging conveyor belt through a Raspberry Pi interface.\n\n## Architecture\n![Architecture Diagram Placeholder]()\n- Angular Frontend for user interface\n- Spring Boot Backend API\n- Prometheus for metrics collection\n- Python service on Raspberry Pi\n- Arduino-controlled conveyor belt\n\n## Features\n- **Real-time Control Panel**\n - 5-step speed control (10-14 units)\n - Power management\n - System status monitoring\n\n
\n \n- **Live Metrics Dashboard**: PU usage and frequency, Memory utilization, Disk usage, System load, Custom application metrics\n \n
\n\n- **Alert System**: Real-time system alerts, Multiple severity levels, Visual indicators, Configurable alert rules\n \n
\n\n- **Logging Interface**: System events tracking, Operation logs, Error monitoring\n \n
\n\n- **BOBST Platform Integration**: Direct access to BOBST operator equipment portal\n\n## Tech Stack\n### Frontend\n- Angular 17\n- TypeScript\n- Angular Material UI\n- Chart.js\n- SCSS\n\n### Backend\n- Java 17\n- Spring Boot\n- Prometheus\n- Docker\n- Maven\n\n### IoT\n- Python\n- Raspberry Pi\n- Arduino\n\n## Setup Instructions\n\n### Prerequisites\n- Node.js and npm\n- Java 17\n- Maven\n- Docker\n- Python 3\n- Raspberry Pi\n- Arduino setup\n\n### Frontend Setup\n1. Install dependencies:\n```bash\nnpm install"", ""readme_length"": 1668, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3298}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1672}, {""path"": ""analytics"", ""type"": ""dir"", ""size"": 0}, {""path"": ""config.json"", ""type"": ""file"", ""size"": 35}, {""path"": ""config_reloader_main.py"", ""type"": ""file"", ""size"": 421}, {""path"": ""core"", ""type"": ""dir"", ""size"": 0}, {""path"": ""enums.py"", ""type"": ""file"", ""size"": 224}, {""path"": ""explore"", ""type"": ""dir"", ""size"": 0}, {""path"": ""exporter_side_car_main.py"", ""type"": ""file"", ""size"": 393}, {""path"": ""implementations"", ""type"": ""dir"", ""size"": 0}, {""path"": ""infrastructure"", ""type"": ""dir"", ""size"": 0}, {""path"": ""interfaces"", ""type"": ""dir"", ""size"": 0}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 1811}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 75}], ""files_total_count"": 47, ""dirs_total_count"": 6, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/R4oulDuk3/lauzhack-2024"", ""owner"": ""R4oulDuk3"", ""repo_name"": ""lauzhack-2024"", ""repo"": ""lauzhack-2024"", ""name_with_owner"": ""R4oulDuk3/lauzhack-2024"", ""url"": ""https://github.com/R4oulDuk3/lauzhack-2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-29T20:41:51Z"", ""updated_at"": ""2024-12-01T12:05:10Z"", ""pushed_at"": ""2024-12-01T10:31:35Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""TypeScript"", ""languages_top"": [{""language"": ""TypeScript"", ""size"": 23611}, {""language"": ""Java"", ""size"": 11634}, {""language"": ""SCSS"", ""size"": 9716}, {""language"": ""HTML"", ""size"": 7396}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 26, ""first_commit_date_default_branch"": ""2024-11-29T20:46:18Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:31:34Z"", ""last_commit_oid_default_branch"": ""806769aa2e748a9f72466b2d1d8503e8377f8062"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""shus"", ""contributions"": 15, ""html_url"": null}, {""login"": ""R4oulDuk3"", ""contributions"": 7, ""html_url"": ""https://github.com/R4oulDuk3""}, {""login"": ""Savke57"", ""contributions"": 3, ""html_url"": ""https://github.com/Savke57""}, {""login"": ""theShus"", ""contributions"": 1, ""html_url"": ""https://github.com/theShus""}], ""readme_title"": ""Bober Stack 🦫"", ""readme_text"": ""# Bober Stack 🦫\n### LausHack 2024 - BOBST Challenge Project\n\n## Overview\nBober Stack is a full-stack monitoring and control system developed for BOBST packaging company during LausHack 2024. The project name comes from \""bober\"" (beaver) - our mascot representing BOBST's connection to paper and cardboard packaging.\n\nThe system provides real-time control and monitoring of a miniature Arduino-operated packaging conveyor belt through a Raspberry Pi interface.\n\n## Architecture\n![Architecture Diagram Placeholder]()\n- Angular Frontend for user interface\n- Spring Boot Backend API\n- Prometheus for metrics collection\n- Python service on Raspberry Pi\n- Arduino-controlled conveyor belt\n\n## Features\n- **Real-time Control Panel**\n - 5-step speed control (10-14 units)\n - Power management\n - System status monitoring\n\n
\n \n- **Live Metrics Dashboard**: PU usage and frequency, Memory utilization, Disk usage, System load, Custom application metrics\n \n
\n\n- **Alert System**: Real-time system alerts, Multiple severity levels, Visual indicators, Configurable alert rules\n \n
\n\n- **Logging Interface**: System events tracking, Operation logs, Error monitoring\n \n
\n\n- **BOBST Platform Integration**: Direct access to BOBST operator equipment portal\n\n## Tech Stack\n### Frontend\n- Angular 17\n- TypeScript\n- Angular Material UI\n- Chart.js\n- SCSS\n\n### Backend\n- Java 17\n- Spring Boot\n- Prometheus\n- Docker\n- Maven\n\n### IoT\n- Python\n- Raspberry Pi\n- Arduino\n\n## Setup Instructions\n\n### Prerequisites\n- Node.js and npm\n- Java 17\n- Maven\n- Docker\n- Python 3\n- Raspberry Pi\n- Arduino setup\n\n### Frontend Setup\n1. Install dependencies:\n```bash\nnpm install"", ""readme_length"": 1668, ""files_root_entries"": [{""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Lauzhack2024.iml"", ""type"": ""file"", ""size"": 307}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1672}, {""path"": ""backend.iml"", ""type"": ""file"", ""size"": 374}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 79, ""dirs_total_count"": 37, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +27,Bobst Project Team 10,Create a conveyor belt (raspberry pi and electrical components) that collects data and sends it to a central Azure IoT Hub for visualization,https://github.com/Lylisse/BOBST_LauzHack24,"[""Chloé Tan"", ""Mathieu Vanoirbeek"", ""Ulysse Guye-Vuillème""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:27,27,Bobst Project Team 10,"[""https://github.com/Lylisse/BOBST_LauzHack24""]",1,"[{""input_url"": ""https://github.com/Lylisse/BOBST_LauzHack24"", ""owner"": ""Lylisse"", ""repo_name"": ""BOBST_LauzHack24"", ""repo"": ""BOBST_LauzHack24"", ""name_with_owner"": ""Lylisse/BOBST_LauzHack24"", ""url"": ""https://github.com/Lylisse/BOBST_LauzHack24"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:00:19Z"", ""updated_at"": ""2024-12-01T11:05:38Z"", ""pushed_at"": ""2024-12-01T11:05:35Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""HTML"", ""languages_top"": [{""language"": ""HTML"", ""size"": 14262}, {""language"": ""Python"", ""size"": 6386}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 3, ""first_commit_date_default_branch"": ""2024-11-30T11:16:15Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:05:34Z"", ""last_commit_oid_default_branch"": ""50e55c964470171c0a95892850778dac87864c24"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""MathieuVanoirbeek"", ""contributions"": 2, ""html_url"": ""https://github.com/MathieuVanoirbeek""}, {""login"": ""Lylisse"", ""contributions"": 1, ""html_url"": ""https://github.com/Lylisse""}], ""readme_title"": null, ""readme_text"": null, ""readme_length"": null, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 0}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 6386}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 14262}], ""files_total_count"": 3, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - 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"", ""readme_text"": ""

\n \""drawing\""\n

\n
\n

\n\n

\n\n![Banner](https://github.com/user-attachments/assets/7b7b13a8-68ab-4ad2-998a-b61804584fc2)\n\n\n\n### **The concept** ☀️\nMeeting people can be challenging, especially when travelling or attending events like Hackathons. This is where **Connect** comes in. \n\n### **How it works** 📱\n\n#### **1. Create an account**\nTo join the app, you'll have to fill some basic information. \n\n\n\n#### **2. Join a group**\nAfter joining, you can select the event that you're attending, that could be almost anything. There could even be groups for university classes, office employees or even neighbourhoods!\n\n\n\n#### **3. Select your interests**\nThis interests include main topics, but the list can be tailored to any specific event. There's also a search bar to find more interests. \n\n\n\n#### **4. Discover similar users**\nAfter adding your interests, other members with similar interests start to appear on the main screen. Hooray! \n\n\n\n#### **5. Make new connections**\nYou can check your common interests and start a conversation. **Making new connections has never been easier!** ☀️\n\n\n\n\n### Tech Stack\nThe web-app has been created using:\n \n 🔵 **HTML**\n \n 🟢 **CSS**\n \n 🟨 **Javascript**\n \n ✨ **Flowbite** *(UI Components)*\n\n 🐍 **Python** *(basic backend)*\n\n\n### **The future** ✨\nWhat about going one step further, and using *bluetooth* to actually connect users, as they're walking through common areas? The phone could display the common interests and conversation would start instantly. That is a future vision for this project. Until then, **Connect** is a great way to meet with new people at all kind of events. \n\n

\n \n

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December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +31,Data Pigeon,Time series on medical data,https://github.com/alexcaldarone/lauzhack-2024,"[""Alex John Caldarone"", ""Levin Hertrich"", ""Yassine Turki"", ""Oskar Dabkowski""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:31,31,Data Pigeon,"[""https://github.com/alexcaldarone/lauzhack-2024""]",1,"[{""input_url"": ""https://github.com/alexcaldarone/lauzhack-2024"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'alexcaldarone/lauzhack-2024'.\""}]"", ""owner"": ""alexcaldarone"", ""repo"": ""lauzhack-2024""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +32,Dignity Team,"This project focuses on resolving financial entities by using Local Sensitive Hashing (LSH) to efficiently identify and match similar non-UBS entities in transaction records. 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It is tailored for the financial industry, where precision and scalability are very important.\n\n## Key Features\n\n### Linear Models for Financial Entity Matching\nThe system uses LSH for blocking and similarity-based feature engineering, making it linear in terms of complexity:\n- **Scalability**: LSH reduces the number of pairwise comparisons, enabling linear performance relative to data size.\n- **Robustness**: Features like phonetic encoding (Soundex, Metaphone, NYSIIS), company detection, and custom similarity metrics make the model highly adaptable to diverse financial datasets.\n\nThese methods ensure quick and accurate matching, making the approach ideal for financial transactions where entity resolution needs to be precise, scalable, and interpretable.\n\n### Workflow\n1. **Preprocessing** \n - Standardizes input datasets by normalizing names, addresses, and phone numbers.\n - Maps categorical variables into numerical formats.\n\n2. **Feature Engineering** \n - Extracts and encodes phonetic features for entity matching.\n - Identifies companies using keyword-based detection.\n - Splits names into \""given_name\"" and \""surname,\"" enabling nuanced comparisons.\n\n3. **LSH for Blocking** \n - Employs LSH to group similar entities into buckets, reducing the number of comparisons needed.\n\n4. **Similarity Scoring** \n - Combines phonetic encoding, string similarity (Jaro-Winkler), and attribute weighting for fine-grained matching.\n\n5. **Evaluation** \n - Measures performance using precision, recall, and F1-score.\n\n## Models Used\n### Local Sensitive Hashing (LSH)\n- **Blocking**: Groups entities based on attributes like names, addresses, and phone numbers using n-grams and MinHash.\n- **Efficiency**: Significantly reduces computational costs by limiting comparisons to similar buckets.\n\n### Phonetic Encodings\n- **Soundex, Metaphone, NYSIIS**: Improve matching accuracy for noisy and diverse name datasets.\n- **Adaptability**: Handles variations in spelling and cultural differences in entity names.\n\n### String Similarity\n- **Jaro-Winkler Distance**: Computes robust similarity scores for attributes like names and phone numbers.\n- **Attribute Weighting**: Prioritizes key attributes (e.g., IBAN, surname) to align with financial data resolution requirements.\n\n## Preprocessing Steps\n- Lowercase normalization and removal of special characters.\n- Title stripping for names (e.g., \""Dr.\"", \""Mr.\"").\n- Standardized phone numbers.\n\n## How to Run\n1. Place input files in the `data/` directory:\n - `account_booking_train.csv`\n - `external_parties_train.csv`\n - `account_booking_test.csv`\n - `external_parties_test.csv`\n\n2. Run the main script:\n ```bash\n python main.py\n ```\n\n3. Processed files will be saved in the `data/processed/` directory, including:\n - `external_parties_train.csv`\n - `submission.csv`\n\n## Evaluation Metrics\n- **Precision**: Proportion of correctly identified pairs.\n- **Recall**: Coverage of true matches.\n- **F1-Score**: Harmonizes precision and recall.\n\n## Why This Approach Works for Financial Entity Matching\n- **Linear Scalability**: Handles large datasets efficiently, crucial for financial systems with millions of transactions.\n- **Domain-Specific Features**: Incorporates financial-specific attributes (e.g., IBAN, company detection).\n- **Accuracy**: Combines blocking, similarity, and phonetic features to minimize false positives and negatives.\n\n---\n\nCreated by the **Dignity** team for the Lauzhack 2024!"", ""readme_length"": 3959, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3211}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3964}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""blocking_utils"", ""type"": ""dir"", ""size"": 0}, {""path"": ""demo.ipynb"", ""type"": ""file"", ""size"": 126554}, {""path"": ""inference.py"", ""type"": ""file"", ""size"": 13524}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 17679}, {""path"": ""preprocess.py"", ""type"": ""file"", ""size"": 2419}, {""path"": ""preprocessing_utils"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 12, ""dirs_total_count"": 3, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - 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December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +34,Fake detection plugin,"Our idea is to a create a tool that will raise awareness of misinformation and fake news. We want to create a browser plugin that will make use of local models to analyse the texts of the articles for sentiment analysis, fake news possibility, emotion analysis in real-time. This... (hover for more)",https://github.com/Howieboss02/lauzhack-2024,"[""Ewa Miazga"", ""Karolina Tofil"", ""Maksym Ziemlewski"", ""Stanisław Howard""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:34,34,Fake detection plugin,"[""https://github.com/Howieboss02/lauzhack-2024""]",1,"[{""input_url"": ""https://github.com/Howieboss02/lauzhack-2024"", ""owner"": ""Howieboss02"", ""repo_name"": ""lauzhack-2024"", ""repo"": ""lauzhack-2024"", ""name_with_owner"": ""Howieboss02/lauzhack-2024"", ""url"": ""https://github.com/Howieboss02/lauzhack-2024"", ""description"": ""Project for Lauzhack2024"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:11:34Z"", ""updated_at"": ""2024-12-09T23:42:47Z"", ""pushed_at"": ""2024-12-01T12:38:18Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 140022}, {""language"": ""JavaScript"", ""size"": 19120}, {""language"": ""Python"", ""size"": 12546}, {""language"": ""HTML"", ""size"": 3992}, {""language"": ""CSS"", ""size"": 2735}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 56, ""first_commit_date_default_branch"": ""2024-11-30T13:11:34Z"", ""last_commit_date_default_branch"": ""2024-12-01T12:38:14Z"", ""last_commit_oid_default_branch"": ""f0f986c7e4a74a6a6893a3c310d25fb0977d3dd4"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""mziem"", ""contributions"": 18, ""html_url"": ""https://github.com/mziem""}, {""login"": ""ewa.miazga"", ""contributions"": 15, ""html_url"": null}, {""login"": ""tflkarolina"", ""contributions"": 11, ""html_url"": ""https://github.com/tflkarolina""}, {""login"": ""ewaMiazga"", ""contributions"": 7, ""html_url"": ""https://github.com/ewaMiazga""}, {""login"": ""Howieboss02"", ""contributions"": 5, ""html_url"": ""https://github.com/Howieboss02""}], ""readme_title"": ""lauzhack-2024"", ""readme_text"": ""# lauzhack-2024\n\n\n[![Contributors][contributors-shield]][contributors-url]\n[![MIT License][license-shield]][license-url]\n\n### Authors\n- [Ewa Miazga](https://github.com/ewaMiazga)\n- [Stanisław Howard](https://github.com/Howieboss02)\n- [Karolina Tofil](https://github.com/tflkarolina)\n- [Maksym Ziemlewski](https://github.com/mziem)\n\n
\n Table of Contents\n
    \n
  1. \n About The Project\n \n
    2. \n
  2. \n For Developers\n \n
\n
\n\n## About The Project\n\n### Motivation\nOur goal was to develop a browser extension that empowers users by providing concise summaries of the news they read and the Twitter posts they browse. This extension goes beyond simple summarization by offering a comprehensive analysis, prompting users to critically evaluate the credibility of the content they consume. By asking whether the news might be fake, the extension raises awareness and encourages users to reflect on how often they may encounter misinformation or fake news.\n\n### Goal \nTo create a user-friendly browser extension that acts as a personal assistant for analyzing online content. The extension performs comprehensive analyses, including hate speech detection, emotion recognition, sentiment analysis, fake news verification, and irony detection, helping users critically evaluate the news and social media posts they consume.\n\n## For Developers\n\n### Build With\n\n* [![React][React.js]][React-url]\n* [![Python][Python.org]][Python-url]\n* [![Flask][Flask.com]][Flask-url]\n\n

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\n\n\n### Getting started\n\n\n#### Step 1: Create and Activate the Virtual Environment\n\n##### Linux\n```bash\n# Create a virtual environment if not already created\npython3 -m venv venv\n\n# Activate the virtual environment\nsource venv/bin/activate\n\n# Install the required packages\npip install -r requirements.txt\n```\n##### Windows\n```bash\n# Create a virtual environment if not already created\npython -m venv venv\n\n# Activate the virtual environment\nvenv\\Scripts\\activate\n\n# Install the required packages\npip install -r requirements.txt\n```\n\n---\n\n#### Step 2: Run the Flask Application\n```bash\n# Run the Flask application\npython app.py\n```\n\n#### Step 3: Set Environment Variables\n\n##### Linux\n```bash\n# Set the environment variables\nexport FLASK_APP=app.py\nexport FLASK_ENV=development\n```\n\n##### Windows\n```bash\n# Set the environment variables\nset FLASK_APP=app.py\nset FLASK_ENV=development\n```\n\n\n---\n\n##### Step 4: Deactivate the Virtual Environment\n```bash\n# Deactivate the virtual environment\ndeactivate\n```\n\n---\n\n### License\nDistributed under the MIT License. See `LICENSE.txt` for more information.\n\n

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\n\n[contributors-shield]: https://img.shields.io/badge/CONTRIBUTORS-4-brightyellow?style=for-the-badge\n[contributors-url]:https://github.com/Howieboss02/lauzhack-2024/graphs/contributors\n[license-shield]: https://img.shields.io/badge/LICENSE-MIT-brightyellow?style=for-the-badge\n[license-url]: https://github.com/Howieboss02/lauzhack-2024/blob/main/LICENSE\n\n\n[React.js]: https://img.shields.io/badge/JS-black?logo=javascript\n[React-url]: https://developer.mozilla.org/en-US/docs/Web/JavaScript\n[Python.org]: https://img.shields.io/badge/Python-brightgreeen?style=flat&logo=python&logoColor=FFE873&color=306998\n[Python-url]: https://www.python.org/\n[Flask.com]: https://img.shields.io/badge/Flask-black?style=plastic&logo=flask&color=%2361dafb\n[Flask-url]: https://flask.palletsprojects.com/en/3.0.x/"", ""readme_length"": 3874, ""files_root_entries"": [{""path"": "".env"", ""type"": ""file"", ""size"": 65}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 36}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1074}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3876}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 1786}, {""path"": ""background.js"", ""type"": ""file"", ""size"": 258}, {""path"": ""content.js"", ""type"": ""file"", ""size"": 2023}, {""path"": ""fake.avif"", ""type"": ""file"", ""size"": 104285}, {""path"": ""icon.png"", ""type"": ""file"", ""size"": 319}, {""path"": ""liar_dataset-master"", ""type"": ""dir"", ""size"": 0}, {""path"": ""manifest.json"", ""type"": ""file"", ""size"": 459}, {""path"": ""node_modules"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 862}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 53}, {""path"": ""panel.html"", ""type"": ""file"", ""size"": 3992}, {""path"": ""panel.js"", ""type"": ""file"", ""size"": 16839}, {""path"": ""pythong"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 32}, {""path"": ""sentiment.py"", ""type"": ""file"", ""size"": 1266}, {""path"": ""static"", ""type"": ""dir"", ""size"": 0}, {""path"": ""styles.css"", ""type"": ""file"", ""size"": 2735}, {""path"": ""tests.ipynb"", ""type"": ""file"", ""size"": 77986}], ""files_total_count"": 154, ""dirs_total_count"": 21, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +35,File Organiser,Organise your files using local llms,https://github.com/ReinBentdal/01_,"[""John Taylor"", ""Rein Gundersen Bentdal""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:35,35,File Organiser,"[""https://github.com/ReinBentdal/01_""]",1,"[{""input_url"": ""https://github.com/ReinBentdal/01_"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'ReinBentdal/01_'.\""}]"", ""owner"": ""ReinBentdal"", ""repo"": ""01_""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +36,Fred,Fred is an Android Application that helps you reduce your carbon footprint on a daily basis.,https://github.com/edouardmichelin/fred,"[""Edouard Michelin"", ""François Dumoncel""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:36,36,Fred,"[""https://github.com/edouardmichelin/fred""]",1,"[{""input_url"": ""https://github.com/edouardmichelin/fred"", ""owner"": ""edouardmichelin"", ""repo_name"": ""fred"", ""repo"": ""fred"", ""name_with_owner"": ""edouardmichelin/fred"", ""url"": ""https://github.com/edouardmichelin/fred"", ""description"": ""LauzHack 2024 - 24 hours - 2 people"", ""homepage_url"": """", ""topics"": [""ai"", ""android"", ""android-application"", ""carbon-footprint"", ""firebase"", ""gamification"", ""hackathon"", ""hackathon-project"", ""lauzhack"", ""mvvm"", ""mvvm-android"", ""mvvm-architecture"", ""jetpack-compose"", ""kotlin"", ""kotlin-android"", ""llm""], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2024-11-30T15:19:30Z"", ""updated_at"": ""2025-08-06T09:47:58Z"", ""pushed_at"": ""2024-12-01T21:05:42Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Kotlin"", ""languages_top"": [{""language"": ""Kotlin"", ""size"": 179153}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 55, ""first_commit_date_default_branch"": ""2024-11-30T15:41:09Z"", ""last_commit_date_default_branch"": ""2024-12-01T21:05:39Z"", ""last_commit_oid_default_branch"": ""e6ac993965a986752299a45f60f65ce7831b67ce"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""edouardmichelin"", ""contributions"": 31, ""html_url"": ""https://github.com/edouardmichelin""}, {""login"": ""Bozu1206"", ""contributions"": 24, ""html_url"": ""https://github.com/Bozu1206""}], ""readme_title"": ""Fred: Your Personal Carbon **F**ootprint **Red**ucer"", ""readme_text"": ""# Fred: Your Personal Carbon **F**ootprint **Red**ucer\n\n\""App\n\n---\n\n## Authors\n\n- [François Dumoncel](https://github.com/Bozu1206)\n- [Edouard Michelin](https://github.com/edouardmichelin)\n\n## Context\n\nFred was developed by a **team of two** during the **24-hour** LauzHack hackathon, which took place at the EPFL BC building in November 2024.\n\n## The app\n\n### Short description\n\nFred is your AI-powered companion for a greener lifestyle, guiding you to reduce your carbon footprint with ease and insight. It helps you:\n1. Log activities that either reward sustainable habits or track areas for improvement.\n2. Receive personalized daily tips to reduce your carbon footprint based on your habits and recent activities.\n\n### Technical details\n\nFred is an Android application developed in Kotlin using Jetpack Compose. It follows the MVVM architecture and leverages:\n- **Firebase** for cloud services such as authentication and data storage.\n- **OpenAI's GPT-3.5** for generating tailored recommendations.\n- **Nominatim** for geocoding.\n\n\""Home"", ""readme_length"": 1151, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3353}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1153}, {""path"": ""app-logo.png"", ""type"": ""file"", ""size"": 369969}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""build.gradle.kts"", ""type"": ""file"", ""size"": 235}, {""path"": ""gradle.properties"", ""type"": ""file"", ""size"": 1358}, {""path"": ""gradle"", ""type"": ""dir"", ""size"": 0}, {""path"": ""gradlew"", ""type"": ""file"", ""size"": 8762}, {""path"": ""gradlew.bat"", ""type"": ""file"", ""size"": 2966}, {""path"": ""screenshot.png"", ""type"": ""file"", ""size"": 866711}, {""path"": ""settings.gradle"", ""type"": ""file"", ""size"": 408}], ""files_total_count"": 150, ""dirs_total_count"": 62, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +37,Fresk,Web app showing all the associations of EPFL as a network.,https://github.com/EPFL-Fresk/,"[""Camille Lannoye"", ""Martin Muchembled"", ""Paul Tissot-Daguette""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:37,37,Fresk,"[""https://github.com/EPFL-Fresk/fresk-backend"", ""https://github.com/EPFL-Fresk/fresk-frontend""]",2,"[{""input_url"": ""https://github.com/EPFL-Fresk/fresk-backend"", ""owner"": ""EPFL-Fresk"", ""repo_name"": ""fresk-backend"", ""repo"": ""fresk-backend"", ""name_with_owner"": ""EPFL-Fresk/fresk-backend"", ""url"": ""https://github.com/EPFL-Fresk/fresk-backend"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T22:32:00Z"", ""updated_at"": ""2024-12-04T12:05:42Z"", ""pushed_at"": ""2024-12-01T10:58:09Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""Scala"", ""languages_top"": [{""language"": ""Scala"", ""size"": 16199}, {""language"": ""Shell"", ""size"": 413}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 3, ""first_commit_date_default_branch"": ""2024-11-30T22:34:11Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:58:02Z"", ""last_commit_oid_default_branch"": ""619f2325f2b8bd8aad733aef179509bfd79e1cb3"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 1, ""issues_open"": 1, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""paultisaw"", ""contributions"": 3, ""html_url"": ""https://github.com/paultisaw""}], ""readme_title"": ""## sbt project compiled with Scala 3"", ""readme_text"": ""## sbt project compiled with Scala 3\n\n### Usage\n\nThis is a normal sbt project. You can compile code with `sbt compile`, run it with `sbt run`, and `sbt console` will start a Scala 3 REPL.\n\nFor more information on the sbt-dotty plugin, see the\n[scala3-example-project](https://github.com/scala/scala3-example-project/blob/main/README.md)."", ""readme_length"": 337, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 310}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 338}, {""path"": ""add_fnr.sh"", ""type"": ""file"", ""size"": 113}, {""path"": ""application.conf"", ""type"": ""file"", ""size"": 368}, {""path"": ""build.sbt"", ""type"": ""file"", ""size"": 1084}, {""path"": ""db_data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 634}, {""path"": ""fixnreplace.json"", ""type"": ""file"", ""size"": 1884}, {""path"": ""get_assosciations.sh"", ""type"": ""file"", ""size"": 40}, {""path"": ""project"", ""type"": ""dir"", ""size"": 0}, {""path"": ""publish.sh"", ""type"": ""file"", ""size"": 260}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 16, ""dirs_total_count"": 8, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/EPFL-Fresk/fresk-frontend"", ""owner"": ""EPFL-Fresk"", ""repo_name"": ""fresk-frontend"", ""repo"": ""fresk-frontend"", ""name_with_owner"": ""EPFL-Fresk/fresk-frontend"", ""url"": ""https://github.com/EPFL-Fresk/fresk-frontend"", ""description"": ""Flutter front-end for Fresk"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:34:03Z"", ""updated_at"": ""2024-12-04T12:09:53Z"", ""pushed_at"": ""2024-12-01T13:05:02Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""C++"", ""languages_top"": [{""language"": ""C++"", ""size"": 23756}, {""language"": ""CMake"", ""size"": 19404}, {""language"": ""Dart"", ""size"": 2870}, {""language"": ""Swift"", ""size"": 1702}, {""language"": ""C"", ""size"": 1425}, {""language"": ""HTML"", ""size"": 1214}, {""language"": ""Kotlin"", ""size"": 118}, {""language"": ""Objective-C"", ""size"": 38}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 14, ""first_commit_date_default_branch"": ""2024-11-30T12:33:12Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:58:01Z"", ""last_commit_oid_default_branch"": ""b498a455e252017fbb914a8d39f2d3fd0948c0da"", ""pull_requests_total"": 5, ""pull_requests_open"": 1, ""pull_requests_closed"": 0, ""pull_requests_merged"": 4, ""issues_total"": 11, ""issues_open"": 7, ""issues_closed"": 4, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""muchembledMartin"", ""contributions"": 11, ""html_url"": ""https://github.com/muchembledMartin""}, {""login"": ""camillelnne"", ""contributions"": 3, ""html_url"": ""https://github.com/camillelnne""}], ""readme_title"": ""Fresk"", ""readme_text"": ""# Fresk\n\nFlutter frontend for the Fresk project !\n\n## Project strucure\n```\nlib/\n├── main.dart # Entry point of the app\n├── models/ # Data models\n├── widgets/ # Custom widgets\n├── screens/ # App screens\n│ └── home_screen.dart # Screen with the graph\n├── utils/ # Utilities or helpers\n└── assets/ # Static assets like images and logos\n```"", ""readme_length"": 441, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 691}, {""path"": "".metadata"", ""type"": ""file"", ""size"": 1706}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 485}, {""path"": ""analysis_options.yaml"", ""type"": ""file"", ""size"": 193}, {""path"": ""android"", ""type"": ""dir"", ""size"": 0}, {""path"": ""ios"", ""type"": ""dir"", ""size"": 0}, {""path"": ""lib"", ""type"": ""dir"", ""size"": 0}, {""path"": ""linux"", ""type"": ""dir"", ""size"": 0}, {""path"": ""macos"", ""type"": ""dir"", ""size"": 0}, {""path"": ""pubspec.lock"", ""type"": ""file"", ""size"": 6733}, {""path"": ""pubspec.yaml"", ""type"": ""file"", ""size"": 285}, {""path"": ""web"", ""type"": ""dir"", ""size"": 0}, {""path"": ""windows"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 131, ""dirs_total_count"": 65, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +38,Genesix,"Our product presents itself as a solution to artists and architects alike, acting as a tool to modify and create 3d models alongside others, being able to conceive designs and models in a collaborative space.",https://github.com/cheems277/Genesix,"[""Christopher Al Bahou"", ""Mahel Coquaz""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:38,38,Genesix,"[""https://github.com/cheems277/Genesix""]",1,"[{""input_url"": ""https://github.com/cheems277/Genesix"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'cheems277/Genesix'.\""}]"", ""owner"": ""cheems277"", ""repo"": ""Genesix""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +39,HarborScope,Agent for querying marine livestreams with user interface,https://github.com/doncamilom/watchmen,"[""Andrea Salati"", ""Andres M Bran"", ""Rohan Singh""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:39,39,HarborScope,"[""https://github.com/doncamilom/watchmen""]",1,"[{""input_url"": ""https://github.com/doncamilom/watchmen"", ""owner"": ""doncamilom"", ""repo_name"": ""watchmen"", ""repo"": ""watchmen"", ""name_with_owner"": ""doncamilom/watchmen"", ""url"": ""https://github.com/doncamilom/watchmen"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T15:56:09Z"", ""updated_at"": ""2024-12-01T13:48:46Z"", ""pushed_at"": ""2024-12-01T13:48:42Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 1432303}, {""language"": ""JavaScript"", ""size"": 55565}, {""language"": ""Python"", ""size"": 29496}, {""language"": ""HTML"", ""size"": 1801}, {""language"": ""CSS"", ""size"": 930}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 47, ""first_commit_date_default_branch"": ""2024-11-30T15:56:49Z"", ""last_commit_date_default_branch"": ""2024-12-01T13:48:42Z"", ""last_commit_oid_default_branch"": ""ae560b8a88ab935244c7ce909170cfd72b7293b4"", ""pull_requests_total"": 7, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 7, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""doncamilom"", ""contributions"": 31, ""html_url"": ""https://github.com/doncamilom""}, {""login"": ""CyberVitamin"", ""contributions"": 8, ""html_url"": ""https://github.com/CyberVitamin""}, {""login"": ""AndreaSalati"", ""contributions"": 8, ""html_url"": ""https://github.com/AndreaSalati""}], ""readme_title"": ""Seas the Day"", ""readme_text"": ""# Seas the Day\n\n![Seas the Day Demo](imgs/tiny.png)\n\n\n**Seas the Day** transforms maritime tracking and analysis, making port data interactive, insightful, and accessible.\n\n## Key Features\n\n### 1. Interactive Global Map\n- **Global View**: Explore major ports worldwide with an interactive map.\n- **Detailed Dashboards**: Click on a port (e.g., Rotterdam) for real-time and historical data.\n\n### 2. Descriptive Analysis\n- **Summarized Insights**: Access key statistics from the past day:\n - Vessel types docked.\n - Estimated cargo throughput.\n - Average ship speed in port.\n- **AI-Driven Visualization**: Automatically process and visualize complex data for clarity.\n\n### 3. Interactive Image Analysis\n- **Live Port Imagery**: View the latest images of selected ports.\n- **Ask the Image**:\n - \""How many ships are in this frame?\""\n - \""What’s the name of the ship closest to the dock?\""\n - \""Are there any empty berths?\""\n- **Instant AI Insights**: Transform static visuals into actionable intelligence.\n\n## Why Choose Seas the Day?\n- **Simplified Data**: Skip hours of footage and dense datasets—click, explore, and ask.\n- **Enhanced Efficiency**: Boost port management and logistics with AI-powered tools.\n- **User-Friendly**: Designed for port authorities, logistics companies, and curious users alike.\n\n## Revolutionizing Maritime Intelligence\nWith **Seas the Day**, port tracking and analysis become seamless and interactive. Dive into the future of maritime logistics today!\n\n---\n**Ready to get started?** Explore **Seas the Day** and revolutionize port intelligence."", ""readme_length"": 1572, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 26}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1576}, {""path"": ""agent.ipynb"", ""type"": ""file"", ""size"": 5149}, {""path"": ""boat.png"", ""type"": ""file"", ""size"": 1218165}, {""path"": ""claude.py"", ""type"": ""file"", ""size"": 1409}, {""path"": ""dpt.py"", ""type"": ""file"", ""size"": 1519}, {""path"": ""frames_platjeoost"", ""type"": ""dir"", ""size"": 0}, {""path"": ""gather_frames.py"", ""type"": ""file"", ""size"": 4452}, {""path"": ""imgs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""maritime-livefeed-app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""owlvit.ipynb"", ""type"": ""file"", ""size"": 332400}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 676}, {""path"": ""setup.py"", ""type"": ""file"", ""size"": 830}, {""path"": ""viz.ipynb"", ""type"": ""file"", ""size"": 1094754}, {""path"": ""watchmen"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 66, ""dirs_total_count"": 14, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +40,Hawkathon BMS,Data Analysis,https://github.com/SpaceMercury/LauzHawkathon,"[""Pol Fuentes"", ""Jeremias Gut""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:40,40,Hawkathon BMS,"[""https://github.com/SpaceMercury/LauzHawkathon""]",1,"[{""input_url"": ""https://github.com/SpaceMercury/LauzHawkathon"", ""owner"": ""SpaceMercury"", ""repo_name"": ""LauzHawkathon"", ""repo"": ""LauzHawkathon"", ""name_with_owner"": ""SpaceMercury/LauzHawkathon"", ""url"": ""https://github.com/SpaceMercury/LauzHawkathon"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:30:07Z"", ""updated_at"": ""2024-12-01T07:04:09Z"", ""pushed_at"": ""2024-12-01T07:04:05Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 2911841}, {""language"": ""JavaScript"", ""size"": 15398}, {""language"": ""CSS"", ""size"": 8013}, {""language"": ""HTML"", ""size"": 4753}, {""language"": ""Python"", ""size"": 2211}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 83, ""first_commit_date_default_branch"": ""2024-11-30T12:30:08Z"", ""last_commit_date_default_branch"": ""2024-12-01T07:03:58Z"", ""last_commit_oid_default_branch"": ""0f33d56fa632dc373000111ffc8431ea8969ee0b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""SpaceMercury"", ""contributions"": 31, ""html_url"": ""https://github.com/SpaceMercury""}, {""login"": ""NFont0"", ""contributions"": 24, ""html_url"": ""https://github.com/NFont0""}, {""login"": ""JeremyJGut"", ""contributions"": 21, ""html_url"": ""https://github.com/JeremyJGut""}, {""login"": ""MishkaNastia"", ""contributions"": 7, ""html_url"": ""https://github.com/MishkaNastia""}], ""readme_title"": ""LauzHawkathon"", ""readme_text"": ""# LauzHawkathon\n\n\n\n# LauzHawkathon\n\nThis project will be for time series forecasting. It aims to develop models and algorithms to predict future values based on historical data.# LauzHawkathon\n\n## Tasks\n\n- [ ] **Define the Problem Statement**\n - [x] Clearly outline the objectives and goals of the forecasting project.\n - [ ] Identify the key metrics for evaluation.\n\n- [x] **Data Collection**\n - [x] Gather historical data relevant to the forecasting problem.\n - [x] Ensure data quality and completeness.\n\n- [x] **Data Preprocessing**\n - [x] Handle missing values and outliers.\n - [x] Normalize or standardize the data if necessary.\n - [x] Split the data into training and testing sets.\n\n- [x] **Exploratory Data Analysis (EDA)**\n - [x] Visualize the data to understand trends, seasonality, and patterns.\n - [x] Perform statistical analysis to gain insights.\n\n- [x] **Feature Engineering**\n - [x] Create new features that may help improve the model's performance.\n - [x] Select the most relevant features for the model.\n\n- [] **Model Selection**\n - [ ] Choose appropriate time series forecasting models (e.g., ARIMA, LSTM, Prophet).\n - [ ] Justify the choice of models based on the problem and data characteristics.\n\n- [ ] **Model Training**\n - [ ] Train the selected models on the training data.\n - [ ] Tune hyperparameters to optimize model performance.\n\n- [ ] **Model Evaluation**\n - [ ] Evaluate the models using the testing data.\n - [ ] Compare model performance using metrics such as MAE, RMSE, and MAPE.\n\n- [ ] **Model Deployment**\n - [ ] Deploy the best-performing model to a production environment.\n - [ ] Set up a pipeline for continuous monitoring and updating of the model.\nComprehensive User Interface (UI):\n\n- [x] **Intuitive UI**\n - [x]Includes visualization features for historical data, trends, and exploratory analysis.\n - [x]Responsive design for seamless use across various devices.\n - [x]Code Clarity and Maintainability:\n\n- [x] **Maintainability**\n - [x]Well-documented functions and modules for ease of understanding and collaboration.\n - [x]Modular architecture to enable scalability and ease of updates.\n - [x]Test-Driven Development (TDD):\n\n- [x] **Code reliability**\n - [x] High test coverage achieved across key modules.\n - [x] Continuous integration pipeline set up for automated testing and error detection.\n - [x] Data Quality and Integrity: Comprehensive preprocessing pipeline to handle missing values, outliers, and data inconsistencies. Statistical and visual checks integrated to ensure data completeness and readiness for modeling.\n \n- [x] **Documentation**\n - [x] Document the entire process, including data sources, preprocessing steps, model selection, and evaluation results.\n - [x] Update the `README.md` file with relevant information and instructions.\n\n- [ ] **Maintenance**\n - [ ] Monitor the model's performance over time.\n - [ ] Update the model as new data becomes available or as the underlying patterns change."", ""readme_length"": 2994, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3183}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2994}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 2211}, {""path"": ""models"", ""type"": ""dir"", ""size"": 0}, {""path"": ""notebooks"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 23}, {""path"": ""static"", ""type"": ""dir"", ""size"": 0}, {""path"": ""templates"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 26, ""dirs_total_count"": 6, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +41,Hawkeye,AI-powered image analysis assistant,https://github.com/fenfyp/lauzHack,"[""Martin Verhasselt"", ""Sasha Klinkemallie"", ""Xavier Servin"", ""franck-eric Nana""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:41,41,Hawkeye,"[""https://github.com/fenfyp/lauzHack""]",1,"[{""input_url"": ""https://github.com/fenfyp/lauzHack"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'fenfyp/lauzHack'.\""}]"", ""owner"": ""fenfyp"", ""repo"": ""lauzHack""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +42,HikeGuide,Interactive tool that stops being hesitant and helps you.,https://github.com/youssefouru/LauzHack/tree/main,"[""Saged Bounekhel"", ""Sami Bendourou""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:42,42,HikeGuide,"[""https://github.com/youssefouru/LauzHack""]",1,"[{""input_url"": ""https://github.com/youssefouru/LauzHack"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'youssefouru/LauzHack'.\""}]"", ""owner"": ""youssefouru"", ""repo"": ""LauzHack""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +43,I.R.I.S,Intelligent Recognition & Image Scanner,https://github.com/4cademy/I.R.I.S._LauzHack_2024,"[""Guillaume Krafft"", ""Krish Chawla"", ""Mehdi Abdallahi"", ""Marcel Beyer""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:43,43,I.R.I.S,"[""https://github.com/4cademy/I.R.I.S._LauzHack_2024""]",1,"[{""input_url"": ""https://github.com/4cademy/I.R.I.S._LauzHack_2024"", ""owner"": ""4cademy"", ""repo_name"": ""IRIS"", ""repo"": ""I.R.I.S._LauzHack_2024"", ""name_with_owner"": ""4cademy/IRIS"", ""url"": ""https://github.com/4cademy/IRIS"", ""description"": ""Our project for the Vitol challenge at LauzHack 2024 in Lausanne"", ""homepage_url"": """", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:21:59Z"", ""updated_at"": ""2024-12-15T22:55:06Z"", ""pushed_at"": ""2024-12-01T22:25:01Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 55282}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 41, ""first_commit_date_default_branch"": ""2024-11-30T13:33:53Z"", ""last_commit_date_default_branch"": ""2024-12-01T22:25:01Z"", ""last_commit_oid_default_branch"": ""24793bc99278d6e0c0c79dde4991ce940b83c465"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""4cademy"", ""contributions"": 24, ""html_url"": ""https://github.com/4cademy""}, {""login"": ""mehdi533"", ""contributions"": 11, ""html_url"": ""https://github.com/mehdi533""}, {""login"": ""CHUKLA"", ""contributions"": 4, ""html_url"": ""https://github.com/CHUKLA""}, {""login"": ""GKrafft2"", ""contributions"": 2, ""html_url"": ""https://github.com/GKrafft2""}], ""readme_title"": ""IRIS - Intelligent Recognition & Image Search"", ""readme_text"": ""# IRIS - Intelligent Recognition & Image Search\n\n## Demo Video\n\n[![IMAGE ALT TEXT HERE](https://img.youtube.com/vi/z9r4e49M3I4/0.jpg)](https://www.youtube.com/watch?v=z9r4e49M3I4)\n\n## Prerequisites\n```\ngit clone https://github.com/4cademy/I.R.I.S._LauzHack_2024.git repo\ncd repo\ntouch .env\n```\n- Create an API-KEY for SerpApi here: https://serpapi.com/manage-api-key\n- Past it into the created `.env` file like this: `SEARCH_API_KEY=your_api_key_here`\n\n```bash\nexport AWS_DEFAULT_REGION=\""us-west-2\""\nexport AWS_ACCESS_KEY_ID=\""your_aws_access_key_id\""\nexport AWS_SECRET_ACCESS_KEY=\""your_aws_secret_access_key\""\nexport AWS_SESSION_TOKEN=\""your_aws_session_token\""\nexport OPENAI_API_KEY=\""your_openai_api_key\""\n```\n## Installation\n```bash\npip install -r requirements.txt\npython app.py\n```\n\nGo to the URL shown in the console (normally: http://127.0.0.1:7860/)"", ""readme_length"": 849, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 6148}, {""path"": "".env"", ""type"": ""file"", ""size"": 79}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 141}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 851}, {""path"": ""app.py"", ""type"": ""file"", ""size"": 12168}, {""path"": ""chatbot.py"", ""type"": ""file"", ""size"": 5318}, {""path"": ""frankfurt-germany-may-2-2023-260nw-2350806495.webp"", ""type"": ""file"", ""size"": 14826}, {""path"": ""images"", ""type"": ""dir"", ""size"": 0}, {""path"": ""images_matching.py"", ""type"": ""file"", ""size"": 4126}, {""path"": ""prompts.py"", ""type"": ""file"", ""size"": 21586}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 2972}, {""path"": ""segmentation.py"", ""type"": ""file"", ""size"": 6711}, {""path"": ""vision.py"", ""type"": ""file"", ""size"": 5373}], ""files_total_count"": 13, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +44,IA Voice Recognition,A model that is able to identify fake audios created of modified by IA from real audios.,https://github.com/martina-ignacia-hernandez/LauzHack,"[""Joan Riera Tur"", ""Mariona Casasnovas Simon"", ""Martina Hernandez"", ""Núria López Encinas""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:44,44,IA Voice Recognition,"[""https://github.com/martina-ignacia-hernandez/LauzHack""]",1,"[{""input_url"": ""https://github.com/martina-ignacia-hernandez/LauzHack"", ""owner"": ""martina-ignacia-hernandez"", ""repo_name"": ""LauzHack"", ""repo"": ""LauzHack"", ""name_with_owner"": ""martina-ignacia-hernandez/LauzHack"", ""url"": ""https://github.com/martina-ignacia-hernandez/LauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:38:59Z"", ""updated_at"": ""2025-04-24T15:32:50Z"", ""pushed_at"": ""2024-12-01T10:54:45Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 1065582}, {""language"": ""HTML"", ""size"": 54742}, {""language"": ""JavaScript"", ""size"": 10781}, {""language"": ""CSS"", ""size"": 5069}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 9, ""first_commit_date_default_branch"": ""2024-11-30T17:39:00Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:54:45Z"", ""last_commit_oid_default_branch"": ""bf175fce915f50b948db58614b4e29a44b79cbbe"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""martina-ignacia-hernandez"", ""contributions"": 4, ""html_url"": ""https://github.com/martina-ignacia-hernandez""}, {""login"": ""m4riiona"", ""contributions"": 3, ""html_url"": ""https://github.com/m4riiona""}, {""login"": ""joanriera13"", ""contributions"": 2, ""html_url"": ""https://github.com/joanriera13""}], ""readme_title"": ""Fraud AI Detector"", ""readme_text"": ""# Fraud AI Detector\n\nThis project is an AI-Generated Fake Audio Detector designed to identify fraudulent or synthetic audio content, particularly in the context of phone calls. Its primary goal is to enhance communication security by detecting AI-generated audios that could be used in scams or fraudulent schemes.\n\nThe system processes 5-second audio segments from phone calls, extracts critical audio features, and uses machine learning or deep learning models to determine if the audio is real or generated by AI. This is especially useful for organizations or individuals looking to protect themselves against the growing threats of voice spoofing and synthetic speech technologies.\n\nKey capabilities of the project include:\n\nDetection of AI-generated audio: Uses advanced analysis techniques to differentiate between real and synthetic speech.\nEfficient processing: Operates on small audio segments, enabling rapid evaluation of phone call content.\nFeature extraction: Employs state-of-the-art methods to capture distinctive characteristics of speech, such as MFCCs (Mel Frequency Cepstral Coefficients), Chroma features, and Mel spectrograms.\nModel-based classification: Implements trained models for real-time classification, which can be adapted for specific use cases with new data.\n\nOther applications could be:\n\nVerification systems: Ensuring the authenticity of voice-based transactions or communications.\nVoice security: Detecting and mitigating vulnerabilities in systems reliant on voice interactions.\n\nThe repository includes tools for preprocessing audio, extracting features, training classification models, and making predictions on unseen data. It is built with scalability and ease of use in mind, allowing organizations to integrate the solution into their communication workflows or security systems."", ""readme_length"": 1823, ""files_root_entries"": [{""path"": ""Business_Webb"", ""type"": ""dir"", ""size"": 0}, {""path"": ""FAID"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Fraud_AI_Detector.ipynb"", ""type"": ""file"", ""size"": 1065582}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1824}], ""files_total_count"": 14, ""dirs_total_count"": 3, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +45,LauzBerry,Bobst Challenge.,https://github.com/acanadil/LauzRaspberry,"[""Claudia Altadill"", ""Albert Cañadilla"", ""Pau Carulla Lechosa"", ""Stepan Klymonchuk""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:45,45,LauzBerry,"[""https://github.com/acanadil/LauzRaspberry""]",1,"[{""input_url"": ""https://github.com/acanadil/LauzRaspberry"", ""owner"": ""acanadil"", ""repo_name"": ""LauzRaspberry"", ""repo"": ""LauzRaspberry"", ""name_with_owner"": ""acanadil/LauzRaspberry"", ""url"": ""https://github.com/acanadil/LauzRaspberry"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T14:13:03Z"", ""updated_at"": ""2024-12-09T11:35:03Z"", ""pushed_at"": ""2024-12-09T11:37:24Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 2, ""primary_language"": ""C++"", ""languages_top"": [{""language"": ""C++"", ""size"": 23070}, {""language"": ""CMake"", ""size"": 18778}, {""language"": ""Jupyter Notebook"", ""size"": 17992}, {""language"": ""Python"", ""size"": 16135}, {""language"": ""Dart"", ""size"": 8114}, {""language"": ""HTML"", ""size"": 1859}, {""language"": ""Swift"", ""size"": 1728}, {""language"": ""C"", ""size"": 1425}, {""language"": ""Kotlin"", ""size"": 133}, {""language"": ""Objective-C"", ""size"": 38}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 22, ""first_commit_date_default_branch"": ""2024-11-30T15:50:08Z"", ""last_commit_date_default_branch"": ""2024-12-09T11:34:59Z"", ""last_commit_oid_default_branch"": ""ca617fe57084e1fda3ad22fed9db9f463a319c13"", ""pull_requests_total"": 2, ""pull_requests_open"": 0, ""pull_requests_closed"": 1, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""acanadil"", ""contributions"": 9, ""html_url"": ""https://github.com/acanadil""}, {""login"": ""cucu48"", ""contributions"": 6, ""html_url"": ""https://github.com/cucu48""}, {""login"": ""bystepii"", ""contributions"": 4, ""html_url"": ""https://github.com/bystepii""}, {""login"": ""Claudia Altadill"", ""contributions"": 3, ""html_url"": null}], ""readme_title"": ""LauzBerry"", ""readme_text"": ""# LauzBerry\n\n## Backend\n\nTo exectute the backend code, you need to have the following libraries installed: HOLA\n\n- gpiozero\n- rpi-lgpio\n- ina219\n- azure-iot-device\n- flask\n\nRun the following command to start the backend server:\n\n```bash\ncd Backend && python3 main.py\n```\n\n## Frontend\n\nThe frontend is built using Dart and Flutter. Use any IDE that supports Flutter to run the frontend code."", ""readme_length"": 390, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 5}, {""path"": ""App"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 391}], ""files_total_count"": 142, ""dirs_total_count"": 63, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +46,LauzHack_VITOL,Project for Vitol LauzHack,https://github.com/mpoupet/LauzHack_Vitol,"[""Maxime Poupet""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:46,46,LauzHack_VITOL,"[""https://github.com/mpoupet/LauzHack_Vitol""]",1,"[{""input_url"": ""https://github.com/mpoupet/LauzHack_Vitol"", ""owner"": ""mpoupet"", ""repo_name"": ""LauzHack_Vitol"", ""repo"": ""LauzHack_Vitol"", ""name_with_owner"": ""mpoupet/LauzHack_Vitol"", ""url"": ""https://github.com/mpoupet/LauzHack_Vitol"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-10-13T08:11:39Z"", ""updated_at"": ""2024-10-13T08:11:43Z"", ""pushed_at"": ""2024-10-13T08:11:39Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": null, ""languages_top"": [], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 1, ""first_commit_date_default_branch"": ""2024-10-13T08:11:39Z"", ""last_commit_date_default_branch"": ""2024-10-13T08:11:39Z"", ""last_commit_oid_default_branch"": ""c34c74f592b3c7c7a5e21e868ee922463b8b3f84"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""mpoupet"", ""contributions"": 1, ""html_url"": ""https://github.com/mpoupet""}], ""readme_title"": ""LauzHack_Vitol"", ""readme_text"": ""# LauzHack_Vitol"", ""readme_length"": 16, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 16}], ""files_total_count"": 1, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +47,LIDARXP,"a 3D VR lidar coworking and visualisation tool, please note that we could not publish data to GitHub due to the 100mb single file limit",https://github.com/robertobendi/Hackaton2024,"[""Alessandro Di Maria"", ""Eleonora Anna Kazda"", ""Roberto Bendinelli"", ""Hoang Sao Mai Le""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:47,47,LIDARXP,"[""https://github.com/robertobendi/Hackaton2024""]",1,"[{""input_url"": ""https://github.com/robertobendi/Hackaton2024"", ""owner"": ""robertobendi"", ""repo_name"": ""Hackaton2024"", ""repo"": ""Hackaton2024"", ""name_with_owner"": ""robertobendi/Hackaton2024"", ""url"": ""https://github.com/robertobendi/Hackaton2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:49:46Z"", ""updated_at"": ""2024-12-01T14:07:51Z"", ""pushed_at"": ""2024-11-30T16:49:48Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": null, ""languages_top"": [], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 1, ""first_commit_date_default_branch"": ""2024-11-30T16:46:20Z"", ""last_commit_date_default_branch"": ""2024-11-30T16:46:20Z"", ""last_commit_oid_default_branch"": ""18d8e14e825acfab6fde6d3883c8538af27db27b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""robertobendi"", ""contributions"": 1, ""html_url"": ""https://github.com/robertobendi""}], ""readme_title"": null, ""readme_text"": null, ""readme_length"": null, ""files_root_entries"": [{""path"": "".gitattributes"", ""type"": ""file"", ""size"": 66}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 1284}], ""files_total_count"": 2, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +48,Lirica,Teleprompter app for influencers recording scripted ads,https://github.com/TomasGadea/lauzhack2024,"[""Tomas Gadea"", ""Marc Franquesa Monés"", ""Pau Matas"", ""Pol Puigdemont Plana""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:48,48,Lirica,"[""https://github.com/TomasGadea/lauzhack2024""]",1,"[{""input_url"": ""https://github.com/TomasGadea/lauzhack2024"", ""owner"": ""TomasGadea"", ""repo_name"": ""lauzhack2024"", ""repo"": ""lauzhack2024"", ""name_with_owner"": ""TomasGadea/lauzhack2024"", ""url"": ""https://github.com/TomasGadea/lauzhack2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": true, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T10:55:06Z"", ""updated_at"": ""2025-05-01T21:27:15Z"", ""pushed_at"": ""2024-12-04T16:58:17Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""TypeScript"", ""languages_top"": [{""language"": ""TypeScript"", ""size"": 36784}, {""language"": ""JavaScript"", ""size"": 2855}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 71, ""first_commit_date_default_branch"": ""2024-11-30T10:59:01Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:15:03Z"", ""last_commit_oid_default_branch"": ""af120499f91aeceab1e690eee92fd08aff58d6e3"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""marcfranquesa"", ""contributions"": 29, ""html_url"": ""https://github.com/marcfranquesa""}, {""login"": ""puigde"", ""contributions"": 23, ""html_url"": ""https://github.com/puigde""}, {""login"": ""PauMatas"", ""contributions"": 10, ""html_url"": ""https://github.com/PauMatas""}, {""login"": ""TomasGadea"", ""contributions"": 9, ""html_url"": ""https://github.com/TomasGadea""}], ""readme_title"": ""Lirica: Teleprompter for Influencers"", ""readme_text"": ""![lirica](./assets/images/lirica.png)\n\n# Lirica: Teleprompter for Influencers\n\n## _Stay on script, shine on screen—use Lirica!_\n\n### 🏆 **Project Pitch**\n\nIn a world where video content dominates social media, influencers are constantly crafting perfect, engaging scripts to capture their audience's attention. But keeping track of those scripts while recording? That’s a challenge.\n\n**Use Lirica**: a mobile app tailored for influencers who create scripted video content. \nWith Lirica, your phone becomes your personal teleprompter, seamlessly scrolling through your script while you record. No more fumbling with papers, forgetting lines, or losing focus. Lirica ensures you stay confident, professional, and connected with your audience.\n\nWhether you’re filming a product ad, storytelling, or delivering a heartfelt message, Lirica takes the stress out of memorization, so you can focus on creating and being yourself.\n\n---\n\n### 🚀 **Getting Started**\n\nFollow these steps to run the demo for Lirica:\n\n1. **Prerequisites**:\n\n - Make sure you have Node.js and Expo installed on your system.\n\n2. **Clone the Repository**:\n\n ```bash\n git clone https://github.com/your-username/lirica.git\n cd lirica\n ```\n\n3. **Install dependencies**:\n\n ```bash\n npm install\n ```\n\n4. **Simulate it on iOS**:\n ```bash\n npx expo run:ios\n ```\n\n---\n\n### 🛠️ Features\n- Script Sync: Type or paste your script directly in the app. Lirica will scroll it automatically at your preferred pace.\n- Seamless Recording: Record high-quality videos while following the script.\n- User-Friendly Interface: A clean, intuitive UI designed for effortless navigation.\n- Quick share: Create you video and share it on any social media app instantly.\n- Customizable Display: Adjust scrolling speed to suit your needs.\n\n---\n\n### 📚 Technical Overview\n\n- Framework: Built using Expo for a smooth cross-platform experience.\n Core Technologies: React Native and Expo CLI.\n- Video Integration: Leverages native camera capabilities to ensure flawless recordings.\n- Audio Speaking detector model:\n - Extract features from original signal:\n - RMS of signal window.\n - Zero-crossing rate: Number of time-domain zero-crossings per secind.\n - Difference in amplitude between maximum peak and previous minimum peak within an audio frame.\n - Difference in amplitude between maximum peak and following minimum peak within an audio frame.\n > Samouelian, Ara et al. “Speech, silence, music and noise classification of TV broadcast material.” 5th International Conference on Spoken Language Processing (ICSLP 1998) (1998): n. pag.\n\n---\n\n### 🎯 Future Scope\n\nWhile Lirica is designed for influencers, the potential applications are limitless:\n\n- Public speakers practicing for events.\n- Educators recording lessons or tutorials.\n- Marketers creating dynamic, scripted ad campaigns.\n\nUpcoming features include:\n\n- Integration with cloud storage for scripts.\n- AI-assisted script generation, optimization and evaluation.\n\n### 👥 Meet the Team\n\n- Pol Puigdemont i Plana\n- Marc Franquesa i Monés\n- Tomás Gadea Alcaide\n- Pau Matas i Albiol\n\n---\n\n### 📬 Feedback & Contributions\n\nWe’d love to hear your thoughts! For feedback, suggestions, or contributions:\n\nEmail: [contact@lirica.app](mailto:contact@marcfranquesa.com)\n\n---\n\nLet’s revolutionize video creation, one script at a time.\n\nThank you for considering Lirica for this hackathon. Together, we make advertising simple. 🎥✨"", ""readme_length"": 3474, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 408}, {""path"": "".prettierrc"", ""type"": ""file"", ""size"": 88}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3519}, {""path"": ""app.json"", ""type"": ""file"", ""size"": 2132}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""components"", ""type"": ""dir"", ""size"": 0}, {""path"": ""constants"", ""type"": ""dir"", ""size"": 0}, {""path"": ""hooks"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 723366}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 2269}, {""path"": ""scripts"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tsconfig.json"", ""type"": ""file"", ""size"": 232}], ""files_total_count"": 52, ""dirs_total_count"": 12, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +49,Live Classroom,"It's a use case for the MX Ink, where the teachers can share in real time 3d representations.",https://github.com/Gustavove/lauzhack2024,"[""Carlos Gustavo Vergara Gamboa"", ""Jordi Alejandre Camps""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:49,49,Live Classroom,"[""https://github.com/Gustavove/lauzhack2024""]",1,"[{""input_url"": ""https://github.com/Gustavove/lauzhack2024"", ""owner"": ""Gustavove"", ""repo_name"": ""lauzhack2024"", ""repo"": ""lauzhack2024"", ""name_with_owner"": ""Gustavove/lauzhack2024"", ""url"": ""https://github.com/Gustavove/lauzhack2024"", ""description"": null, ""homepage_url"": ""https://lauzhack2024.vercel.app"", ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T14:31:04Z"", ""updated_at"": ""2024-12-01T11:01:39Z"", ""pushed_at"": ""2024-12-01T09:50:22Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 11836}, {""language"": ""TypeScript"", ""size"": 6898}, {""language"": ""HTML"", ""size"": 701}, {""language"": ""CSS"", ""size"": 233}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 57, ""first_commit_date_default_branch"": ""2024-11-30T14:31:04Z"", ""last_commit_date_default_branch"": ""2024-12-01T09:50:18Z"", ""last_commit_oid_default_branch"": ""d941a7815e4cb36d1cd29fa8aab4628326bb4aa4"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""Gustavove"", ""contributions"": 53, ""html_url"": ""https://github.com/Gustavove""}, {""login"": ""Jalec"", ""contributions"": 4, ""html_url"": ""https://github.com/Jalec""}], ""readme_title"": ""Collaborative Classroom Project - LauzHack Hackathon"", ""readme_text"": ""# Collaborative Classroom Project - LauzHack Hackathon\n\n## Overview\n\nThe **Collaborative Classroom Project** is an innovative solution for real-time, interactive learning in a virtual classroom environment. Built for the **MetaQuest 3S** and using **MX Ink**, this project enables teachers to create, share, and collaborate with students as they teach, all within a fully immersive experience. Students can view the teacher's creations live on their own browser clients, facilitating an engaging and collaborative learning process.\n\n## Features\n\n- **Real-time Collaboration:** Teachers can create content and share it live with students, all while interacting with the content through a shared virtual environment.\n- **Immersive Experience:** Using **WebXR**, teachers can draw and interact with content from their MetaQuest 3S in real time, bringing a new dimension to virtual learning.\n- **Student Client:** Students use a simple web browser to view the teacher’s content, making it easy to access without special hardware.\n- **WebSocket Communication:** WebSockets enable seamless communication between the teacher's client (MetaQuest 3S) and student clients, ensuring live updates as the teacher draws and creates.\n- **ReactJS & Three.js for 3D Visualization:** The student-side interface is built using **ReactJS** and **Three.js** to provide an interactive and engaging experience.\n\n## Technologies Used\n\n- **ReactJS:** Frontend framework used for building the student-facing website client.\n- **Three.js:** JavaScript library for rendering 3D graphics within the browser, creating an immersive experience for students.\n- **WebXR:** Used for the teacher’s point-of-view, allowing them to draw and interact within the virtual environment via the MetaQuest 3S.\n- **WebSockets:** Facilitates real-time communication between the teacher and students, allowing live updates to be pushed from the teacher’s drawing session to the student clients.\n- **Node.js:** Backend server that handles WebSocket connections and manages the flow of data.\n- **Git:** Version control system used to manage code changes and collaboration during development.\n\n## Installation\n\n### Prerequisites\n\nBefore you can get started, you need to have the following tools installed:\n\n- **Node.js** (v14 or later)\n- **npm** (Node Package Manager)\n- **Git**"", ""readme_length"": 2327, ""files_root_entries"": [{""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": ""Frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""QuestBrowser"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2335}, {""path"": ""WebSocket"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 46, ""dirs_total_count"": 11, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +50,Mini Smart Factory,Monitoring of the package assembly line through proximity and current sensors.,https://github.com/verooo0/Lauzhack_pack,"[""Joel Blanco"", ""Marina Teruel Olmedo"", ""Pablo Avilés"", ""Verónica Oñate""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:50,50,Mini Smart Factory,"[""https://github.com/verooo0/Lauzhack_pack""]",1,"[{""input_url"": ""https://github.com/verooo0/Lauzhack_pack"", ""owner"": ""verooo0"", ""repo_name"": ""Lauzhack_pack"", ""repo"": ""Lauzhack_pack"", ""name_with_owner"": ""verooo0/Lauzhack_pack"", ""url"": ""https://github.com/verooo0/Lauzhack_pack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:49:07Z"", ""updated_at"": ""2024-12-01T10:51:17Z"", ""pushed_at"": ""2024-12-01T10:51:13Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 4702}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 7, ""first_commit_date_default_branch"": ""2024-11-30T16:49:08Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:51:13Z"", ""last_commit_oid_default_branch"": ""a39b65868268e1a6f46942d60150084196bc927b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""marinatlj"", ""contributions"": 5, ""html_url"": ""https://github.com/marinatlj""}, {""login"": ""verooo0"", ""contributions"": 1, ""html_url"": ""https://github.com/verooo0""}, {""login"": ""jowi2033"", ""contributions"": 1, ""html_url"": ""https://github.com/jowi2033""}], ""readme_title"": ""Lauzhack_pack"", ""readme_text"": ""# Lauzhack_pack\n\nThis project for the LauzHack 2024 from the sponsor BOBST consists in a 'Mini Smart Factory' that controls the production and the quality of the product itself.\n\nIt's based on a Raspberry pi 5 and it uses an IR sensor, ultrasound sensor and a Servo motor to simulate a production line."", ""readme_length"": 302, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 303}, {""path"": ""mini_smart_factory_main.py"", ""type"": ""file"", ""size"": 4702}], ""files_total_count"": 2, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +51,Modeling Future Trends with Events,"This project focuses on developing a model able to analyze and predict the impact of future events on trendlines. The model should be able to predict accuratelly certain values. We would also like to incorporate possible user inputs to determine certain future values, and predict... (hover for more)",https://github.com/BrunoManzano/LauzHack/tree/main,"[""Bruno Manzano"", ""Ivan Hernandez"", ""Martí Oms""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:51,51,Modeling Future Trends with Events,"[""https://github.com/BrunoManzano/LauzHack""]",1,"[{""input_url"": ""https://github.com/BrunoManzano/LauzHack"", ""owner"": ""BrunoManzano"", ""repo_name"": ""LauzHack"", ""repo"": ""LauzHack"", ""name_with_owner"": ""BrunoManzano/LauzHack"", ""url"": ""https://github.com/BrunoManzano/LauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:43:41Z"", ""updated_at"": ""2024-12-01T11:04:48Z"", ""pushed_at"": ""2024-12-01T11:01:04Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 4087734}, {""language"": ""Python"", ""size"": 21853}, {""language"": ""HTML"", ""size"": 9353}, {""language"": ""CSS"", ""size"": 865}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 27, ""first_commit_date_default_branch"": ""2024-11-30T11:43:41Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:00:55Z"", ""last_commit_oid_default_branch"": ""9c22afc003258b5400cd4be93b20dc7cc8f5ea33"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""BrunoManzano"", ""contributions"": 17, ""html_url"": ""https://github.com/BrunoManzano""}, {""login"": ""martioms01"", ""contributions"": 8, ""html_url"": ""https://github.com/martioms01""}, {""login"": ""iv97n"", ""contributions"": 2, ""html_url"": ""https://github.com/iv97n""}], ""readme_title"": ""LauzHack"", ""readme_text"": ""# LauzHack"", ""readme_length"": 10, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3139}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 11}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""notebooks"", ""type"": ""dir"", ""size"": 0}, {""path"": ""run.py"", ""type"": ""file"", ""size"": 124}, {""path"": ""static"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 29, ""dirs_total_count"": 10, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +52,MX Focus,"Learn to retain your focus whilst writing an exam. The teacher can edit a document that can be viewed by the student through VR live. The student needs to remain focused, otherwise (which we detect through EEG and machine learning) they get punished by having a semi-stochastic no... (hover for more)",https://github.com/batikanor/MX-Focus,"[""BATIKAN BORA ORMANCI"", ""Buse Duygun"", ""Sude Duygun"", ""Yange Zheng""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:52,52,MX Focus,"[""https://github.com/batikanor/MX-Focus""]",1,"[{""input_url"": ""https://github.com/batikanor/MX-Focus"", ""owner"": ""batikanor"", ""repo_name"": ""MX-Focus"", ""repo"": ""MX-Focus"", ""name_with_owner"": ""batikanor/MX-Focus"", ""url"": ""https://github.com/batikanor/MX-Focus"", ""description"": ""Learn to retain your focus whilst writing an exam."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:54:05Z"", ""updated_at"": ""2026-01-11T19:47:58Z"", ""pushed_at"": ""2024-12-01T10:52:43Z"", ""stars"": 2, ""forks"": 0, ""watchers"": 2, ""primary_language"": ""C#"", ""languages_top"": [{""language"": ""C#"", ""size"": 52239}, {""language"": ""Python"", ""size"": 7949}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 16, ""first_commit_date_default_branch"": ""2024-11-30T20:54:47Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:52:37Z"", ""last_commit_oid_default_branch"": ""8a51a6a06b07ddea2936a92c0af52f18d5bd02a6"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 1, ""latest_release_tag"": ""PoC"", ""latest_release_date"": ""2024-12-01T10:51:06Z"", ""contributors_count"": 2, ""contributors_top"": [{""login"": ""yangezheng"", ""contributions"": 9, ""html_url"": ""https://github.com/yangezheng""}, {""login"": ""batikanor"", ""contributions"": 7, ""html_url"": ""https://github.com/batikanor""}], ""readme_title"": ""## MX Focus Reader"", ""readme_text"": ""## MX Focus Reader\n\nIn this project, we aim to teach students how to maintain focus while performing tasks such as taking an exam. We have developed a VR application that simulates an exam environment. In this setup, the teacher can create and update questions in real-time through a Google Sheet, which is synchronized with the VR environment. The student must stay focused to answer the questions. If the student loses focus, their writing within the VR environment will become shaky and inaccurate. This dynamic helps train students to maintain focus while completing tasks.\n\n---\n\n![eeg_headband](muse/calmness_model.png)\n\n---\n\n## Project Components\n\nThe project consists of the following key components:\n\n1. **VR Environment**: A virtual reality application where students take an exam, simulating a living exam-writing context. In the VR environment, students are required to maintain focus to answer questions accurately.\n\n2. **Teacher's Google Sheet**: The teacher uses a Google Sheet to create and update exam questions. The sheet is synced in real-time with the VR environment, so any changes made by the teacher are immediately reflected in the exam.\n\n3. **Focus Tracking**: A system that tracks the student's focus through EEG signals. If the student becomes distracted, their writing in the VR environment starts to become shaky and inaccurate, providing immediate feedback.\n\n4. **Muse Headband**: A wearable EEG device that captures real-time brainwave signals from the student, used to monitor their focus during the exam.\n\n5. **MuseLSL (Muse Labs Streamer)**: Software that streams the EEG data from the Muse Headband to the cloud in real-time using the Lab Streaming Layer (LSL) protocol.\n\n6. **AWS IoT Core**: A cloud service used to securely transmit EEG data from MuseLSL to the cloud for further processing.\n\n7. **Scikit-learn Model**: A machine learning model that processes the EEG data to assess the student's level of focus based on brainwave frequency bands.\n\n8. **API Gateway**: AWS API Gateway is used to expose the focus score as a REST API, making it accessible for external applications to retrieve and display the student's focus level.\n\n---\n\n## High-Level Workflow\n\nThe process flows as follows:\n\n1. The **Student** wears the **Muse Headband** to capture real-time EEG signals during the exam.\n\n2. The **MuseLSL** software streams the EEG data to **AWS IoT Core** in real-time for processing.\n\n3. **AWS IoT Core** transmits the data to a **Scikit-learn model** running in the cloud, which processes the EEG signals to evaluate the student's focus level.\n\n4. The model generates a **focus score**, which indicates how focused the student is while answering the exam questions. If the student loses focus, the VR environment will simulate shaky, inaccurate writing.\n\n5. The focus score is exposed via **AWS API Gateway** and can be retrieved by the VR application or any external system, giving immediate feedback to both the student and the teacher.\n\n---\n\n## How It Works\n\n### 1. Muse Headband\n- **Muse Headband** is a wearable EEG device that records brainwave signals in real-time.\n- It measures various brainwave frequencies like Alpha, Beta, Theta, and Gamma waves.\n\n### 2. MuseLSL (Muse Labs Streamer)\n- **MuseLSL** is a tool that facilitates the streaming of EEG data from the Muse Headband via the **Lab Streaming Layer (LSL)** protocol.\n- It allows real-time data collection and transmission to external systems or cloud services like AWS.\n\n### 3. AWS IoT Core\n- **AWS IoT Core** is used to securely handle and transmit the EEG data from MuseLSL to the cloud.\n- Data from MuseLSL is sent via **MQTT protocol** to AWS IoT Core for real-time processing and analysis.\n\n### 4. Calmness Model (Scikit-learn)\n- **Scikit-learn** is used to process the EEG data and generate the calmness score.\n- The model classifies brainwave activity into categories (calm vs. not calm) based on the frequency bands.\n- It uses machine learning models trained on EEG data to predict calmness.\n\n### 5. Calmness Score API\n- The calmness score is made available through a RESTful API, exposed via **AWS API Gateway**.\n- External applications (e.g., mobile apps or web apps) can make HTTP requests to this API to retrieve the calmness score in real-time.\n\n---\n\n## Technologies Used\n\n- **Muse Headband**: Wearable EEG device\n- **MuseLSL**: Streaming EEG data via LSL protocol\n- **AWS IoT Core**: Cloud service for IoT data ingestion\n- **Scikit-learn**: Machine learning library used to analyze EEG data\n- **AWS Lambda**: Serverless compute for model inference\n- **AWS API Gateway**: REST API to expose the calmness score\n- **MQTT Protocol**: Communication protocol for real-time data transmission\n\n---\n\n## Setup Instructions\n\n### 1. Muse Headband Setup\n- Pair the Muse Headband with your computer using Bluetooth.\n- Install MuseLSL on your system to enable data streaming from the Muse Headband.\n\n### 2. Install MuseLSL\nFollow the installation instructions in the [MuseLSL repository](https://github.com/muse-lsl/MuseLSL) to stream data from the Muse Headband. Ensure that the EEG data is streaming to a local server or cloud destination.\n\n### 3. AWS IoT Core Setup\n- Set up an **AWS IoT Core** instance to securely handle incoming data.\n- Configure AWS IoT Core to receive and process the EEG data stream via MQTT.\n- Create and manage **Things** (representing the Muse Headband) within AWS IoT Core.\n\n### 4. Model Training & Inference\n- Train a machine learning model using **Scikit-learn** on a dataset of EEG signals to classify calmness based on brainwave frequencies.\n- Deploy the trained model on **AWS Lambda** or an **EC2 instance** for inference.\n\n### 5. Exposing Calmness Score via API\n- Set up **AWS API Gateway** to expose the calmness score as a REST API.\n- Integrate AWS Lambda with API Gateway to generate and serve the calmness score."", ""readme_length"": 5861, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 44}, {""path"": ""MX_Focus_Unity"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 5861}, {""path"": ""muse"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 817, ""dirs_total_count"": 57, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +53,NearestNeighbors BMS Time Series Forecasting,A helpful Data Science Assistant for Time Series Forecasting,https://github.com/kotleta2007/NearestNeighbors,"[""Anna Borisova"", ""Mark Tropin"", ""Yaroslav Petrov"", ""Dmitrii Litvin""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:53,53,NearestNeighbors BMS Time Series Forecasting,"[""https://github.com/kotleta2007/NearestNeighbors""]",1,"[{""input_url"": ""https://github.com/kotleta2007/NearestNeighbors"", ""owner"": ""kotleta2007"", ""repo_name"": ""NearestNeighbors"", ""repo"": ""NearestNeighbors"", ""name_with_owner"": ""kotleta2007/NearestNeighbors"", ""url"": ""https://github.com/kotleta2007/NearestNeighbors"", ""description"": ""LauzHack 2024. BMS Time Series Challenge."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:59:35Z"", ""updated_at"": ""2024-12-01T17:10:36Z"", ""pushed_at"": ""2024-12-01T17:10:32Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 104193}, {""language"": ""Python"", ""size"": 17252}, {""language"": ""Dockerfile"", ""size"": 1184}, {""language"": ""Shell"", ""size"": 94}, {""language"": ""Batchfile"", ""size"": 94}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 18, ""first_commit_date_default_branch"": ""2024-11-30T11:59:35Z"", ""last_commit_date_default_branch"": ""2024-12-01T17:10:28Z"", ""last_commit_oid_default_branch"": ""da44995e12be2422d66ef903bc5a4334049c367c"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 5, ""contributors_top"": [{""login"": ""kotleta2007"", ""contributions"": 10, ""html_url"": ""https://github.com/kotleta2007""}, {""login"": ""AnnaKelmanson"", ""contributions"": 3, ""html_url"": null}, {""login"": ""WiZeYAR"", ""contributions"": 2, ""html_url"": ""https://github.com/WiZeYAR""}, {""login"": ""marcelmmc"", ""contributions"": 2, ""html_url"": ""https://github.com/marcelmmc""}, {""login"": ""Anna Kelmanson"", ""contributions"": 1, ""html_url"": null}], ""readme_title"": ""NearestNeighbors"", ""readme_text"": ""# NearestNeighbors\nLauzHack 2024. BMS Time Series Challenge.\n\n# get the data\n```bash\nmkdir files\ncp .../INNOVIX_* files/\ncp .../BRISTOR_* files/\n```"", ""readme_length"": 148, ""files_root_entries"": [{""path"": "".devcontainer"", ""type"": ""dir"", ""size"": 0}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3194}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 149}, {""path"": ""chat_app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""pyproject.toml"", ""type"": ""file"", ""size"": 716}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 20, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +54,Ougagang persons association,The purpose of this project is to associate persons,https://github.com/MVPee/LauzHack-2024,"[""Arnaud Wery"", ""John Decorte"", ""Marius Van Pee"", ""Danilo Spillebeen""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:54,54,Ougagang persons association,"[""https://github.com/MVPee/LauzHack-2024""]",1,"[{""input_url"": ""https://github.com/MVPee/LauzHack-2024"", ""owner"": ""MVPee"", ""repo_name"": ""LauzHack-2024"", ""repo"": ""LauzHack-2024"", ""name_with_owner"": ""MVPee/LauzHack-2024"", ""url"": ""https://github.com/MVPee/LauzHack-2024"", ""description"": ""Hackathon LauzHack 2024 (24h)"", ""homepage_url"": ""https://lauzhack.com/"", ""topics"": [""2024"", ""24hour"", ""challenge"", ""datascience"", ""hackathon"", ""lauzhack"", ""ubs""], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-10-30T14:17:18Z"", ""updated_at"": ""2025-11-16T16:21:50Z"", ""pushed_at"": ""2024-12-04T16:15:04Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 18637}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 21, ""first_commit_date_default_branch"": ""2024-11-30T13:22:38Z"", ""last_commit_date_default_branch"": ""2024-12-04T16:15:04Z"", ""last_commit_oid_default_branch"": ""bfd0e46609cb46f05ba59e604aea33af47a08557"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""Yonyc"", ""contributions"": 10, ""html_url"": ""https://github.com/Yonyc""}, {""login"": ""MVPee"", ""contributions"": 7, ""html_url"": ""https://github.com/MVPee""}, {""login"": ""dspilleb"", ""contributions"": 2, ""html_url"": ""https://github.com/dspilleb""}, {""login"": ""jdecorte-be"", ""contributions"": 2, ""html_url"": ""https://github.com/jdecorte-be""}], ""readme_title"": ""�� About the project"", ""readme_text"": ""

\n\t💻 Lauzhack 2024\n

\n\n

\n\t\""GitHub\n\t\""Code\n\t\""GitHub\n\t\""GitHub\n

\n\n# 💡 About the project\n> UBS LauzHack Hackathon Challenge (24 hours)\n\nThis project, developed during a 24-hour UBS hackathon, addresses the challenge of identifying identical users within a massive set of banking transaction data. By leveraging advanced data processing and matching algorithms, our solution efficiently detects and connects user profiles across multiple transactions, ensuring accuracy and scalability.\n\n# 📜 Features:\n\n- High-performance data parsing and analysis for large-scale datasets.\n- Intelligent matching algorithms to identify duplicate users based on transaction patterns, metadata, and identifiers.\n- Scalable and adaptable for integration into banking systems.\n\n# ⚙️ Performance Stats:\n\n- Transactions Processed: 1,450,000\n- Time Taken: 90 seconds\n- Matching Accuracy: 66%\n\n# 👥 Team\n\nThis hackathon project was collaboratively developed by\n- [Yonyc (Arnaud)](https://github.com/Yonyc)\n- [jdecorte (John)](https://github.com/jdecorte-be)\n- [dspilleb (Dan)](https://github.com/dspilleb)\n- [MVPee (Marius)](https://github.com/MVPee)"", ""readme_length"": 1609, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 4}, {""path"": ""check_result.py"", ""type"": ""file"", ""size"": 2672}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""dataset_correction.py"", ""type"": ""file"", ""size"": 2153}, {""path"": ""detect.py"", ""type"": ""file"", ""size"": 2256}, {""path"": ""filter_associations.py"", ""type"": ""file"", ""size"": 693}, {""path"": ""marius.py"", ""type"": ""file"", ""size"": 4479}, {""path"": ""normalize.py"", ""type"": ""file"", ""size"": 1048}, {""path"": ""persons_association.py"", ""type"": ""file"", ""size"": 5336}, {""path"": ""readme.md"", ""type"": ""file"", ""size"": 1626}], ""files_total_count"": 13, ""dirs_total_count"": 3, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +55,OutBoxers,Thinking outside the box to avoid surprises inside the box,https://github.com/arnau-m/OutBoxers,"[""Adrià Martínez"", ""Teresa Rovira"", ""Arnau Martinez"", ""Jose Santos Palomera""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:55,55,OutBoxers,"[""https://github.com/arnau-m/OutBoxers""]",1,"[{""input_url"": ""https://github.com/arnau-m/OutBoxers"", ""owner"": ""arnau-m"", ""repo_name"": ""OutBoxers"", ""repo"": ""OutBoxers"", ""name_with_owner"": ""arnau-m/OutBoxers"", ""url"": ""https://github.com/arnau-m/OutBoxers"", ""description"": ""Thinking outside the box to avoid surprises inside the box"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:41:38Z"", ""updated_at"": ""2024-12-01T10:57:21Z"", ""pushed_at"": ""2024-12-01T10:57:18Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 30892}, {""language"": ""JavaScript"", ""size"": 13338}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 11, ""first_commit_date_default_branch"": ""2024-11-30T16:41:38Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:57:10Z"", ""last_commit_oid_default_branch"": ""9f248d4fa819d73b3d37b5aad1d9b9e46891c992"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""JSantosSP"", ""contributions"": 7, ""html_url"": ""https://github.com/JSantosSP""}, {""login"": ""arnau-m"", ""contributions"": 4, ""html_url"": ""https://github.com/arnau-m""}], ""readme_title"": ""OutBoxers - Smart Conveyor Belt System"", ""readme_text"": ""# OutBoxers - Smart Conveyor Belt System \n\nWelcome to **OutBoxers**, our innovative solution developed during the Lauzhack hackathon for BOBST. This project combines hardware, software, and cloud integration to create an intelligent conveyor belt system capable of detecting, sorting, and analyzing box production in real time. \n\n---\n\n## System Overview \n\n### Hardware Functionality \n\n- **Adjustable Conveyor Belt Speed** \n The conveyor belt's speed is regulated using a rotary encoder, allowing dynamic adjustment to match production requirements. \n\n- **Defect Detection at the Start of the Conveyor** \n An **ultrasonic sensor** is positioned at the start of the belt to detect any irregularities in the boxes, such as incorrect dimensions or improper placement. \n\n- **Error Detection at the End of the Conveyor** \n An **infrared sensor** at the end of the conveyor identifies potential issues during transportation, such as misaligned or stuck boxes. \n\n- **Defective Box Diverter** \n If a box is identified as defective by the sensors, a **box diverter mechanism** reroutes it to a separate path at the end of the conveyor, ensuring smooth operation for non-defective boxes. \n\n- **Current Consumption Monitoring** \n A **current sensor** monitors the power consumption of the conveyor system, enabling real-time insights into energy efficiency and operational costs. \n\n---\n\n## Software Functionality \n\n- **Multithreading for Sensor and Motor Management** \n The software uses **multithreading** to manage sensors and motors in parallel, ensuring real-time control and responsiveness. \n\n- **Data Collection and Transmission** \n Key operational data—such as power consumption, production rate, and conveyor speed—are collected and sent to **Microsoft Azure** for storage and analysis. \n\n- **Mobile Application** \n A **mobile application** allows users to manage shifts, monitor system status, and interact with key performance indicators (KPIs). \n\n- **Automated Jobs Integration** \n Integration with **BOBST Connect** enables the execution of automated tasks, streamlining productivity and reducing manual intervention. \n\n---\n\n## Technical Highlights \n\n- **Hardware:** Rotary encoder, ultrasonic sensor, infrared sensor, current sensor, servo-controlled diverter. \n- **Software:** Python-based multithreading for real-time control, Azure integration for data logging, mobile app for management. \n- **Cloud Integration:** Microsoft Azure for storing and analyzing system metrics. \n- **Application Scope:** Operational insights, defect management, production reporting, and energy monitoring. \n\n---\n\n## Future Enhancements \n\nWhile we are proud of what we accomplished during the hackathon, there were additional ideas we could not implement due to time constraints: \n\n1. **Predictive Maintenance** \n - Using sensor and motor data to anticipate mechanical failures or identify wear and tear early. \n\n2. **Enhanced Connectivity with Mobile Application** \n - Real-time control of the conveyor belt and alert management directly from the mobile application. \n\n3. **Advanced Alarm System** \n - Integration of a robust alert system with the mobile app for instant notifications and quick issue resolution. \n\n---\n\n## How It Works \n\n1. Boxes enter the conveyor belt, and their dimensions and positioning are analyzed by the ultrasonic sensor. \n2. Boxes with detected defects are flagged for redirection. \n3. As the box progresses, an infrared sensor checks for additional errors at the end of the line. \n4. If the box is marked as defective, the diverter mechanism separates it from the normal production flow. \n5. The system continuously tracks speed, energy usage, and defect counts, sending this data to the cloud. \n6. The mobile app and automated job scheduler provide additional layers of control and operational insight. \n\n---\n\n## Future Potential \n\nThe OutBoxers system is scalable and modular, making it an ideal solution for modern industrial applications. With additional sensors or advanced AI integration, it can adapt to more complex scenarios and higher production volumes. \n\nWe hope this project inspires further innovation in smart manufacturing! \n\n---\n\n🎉 **Thank you for supporting our hackathon journey!** 🎉"", ""readme_length"": 4274, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 4287}, {""path"": ""appOutBoxers"", ""type"": ""dir"", ""size"": 0}, {""path"": ""classes"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 31, ""dirs_total_count"": 10, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +56,Pochify,"Pochify is a Java-based application designed to streamline and automate the scoring and rule management of the popular card game Pocha. With an intuitive interface and real-time calculations, it enhances gameplay by eliminating manual scorekeeping, making every round smoother and more enjoyable",https://github.com/Jeii23/pochify2.git,"[""Ainoa Capellas Palenzuela"", ""Jaume Costa Calvoparra""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:56,56,Pochify,"[""https://github.com/Jeii23/pochify2""]",1,"[{""input_url"": ""https://github.com/Jeii23/pochify2"", ""owner"": ""Jeii23"", ""repo_name"": ""pochify2"", ""repo"": ""pochify2"", ""name_with_owner"": ""Jeii23/pochify2"", ""url"": ""https://github.com/Jeii23/pochify2"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2024-11-30T17:52:05Z"", ""updated_at"": ""2024-12-01T10:37:10Z"", ""pushed_at"": ""2024-12-01T10:37:06Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Java"", ""languages_top"": [{""language"": ""Java"", ""size"": 23072}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 42, ""first_commit_date_default_branch"": ""2024-11-30T17:52:33Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:37:06Z"", ""last_commit_oid_default_branch"": ""eec51019a72676ba91a55d21a9de9c967af190c0"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""Jeii23"", ""contributions"": 26, ""html_url"": ""https://github.com/Jeii23""}, {""login"": ""Nowiisss"", ""contributions"": 10, ""html_url"": null}, {""login"": ""Nowiisss"", ""contributions"": 6, ""html_url"": ""https://github.com/Nowiisss""}], ""readme_title"": ""Pochify"", ""readme_text"": ""# Pochify\n\nPochify is a JavaFX-based implementation of the traditional Spanish card game **La Pocha**. This interactive application allows players to enjoy the classic game with friends, featuring dynamic player names, rotating player order, bidding, and scoring mechanisms. Developed during a hackathon, Pochify aims to deliver an engaging digital experience of La Pocha.\n\n## Table of Contents\n\n- [Features](#features)\n- [Getting Started](#getting-started)\n - [Prerequisites](#prerequisites)\n - [Installation](#installation)\n- [How to Play](#how-to-play)\n- [Project Structure](#project-structure)\n- [Technologies Used](#technologies-used)\n- [Contributors](#contributors)\n- [License](#license)\n- [Acknowledgments](#acknowledgments)\n\n## Features\n\n- **User-Friendly Interface**: Intuitive GUI built with JavaFX for an enjoyable user experience.\n- **Custom Player Names**: Ability to input and display custom names for each player.\n- **Rotating Player Order**: Automatic rotation of the starting player each round.\n- **Bidding System**: Players place bids, with validation to prevent invalid bids.\n- **Scoring Mechanism**: Automatic calculation and updating of player scores after each round.\n- **Consistent Window Size**: Maintains the same window size across different views for a seamless experience.\n- **Keyboard Shortcuts**: Supports pressing \""Enter\"" to submit inputs for faster gameplay.\n\n## Getting Started\n\n### Prerequisites\n\n- **Java Development Kit (JDK) 11 or higher**\n - Download and install from [Oracle's website](https://www.oracle.com/java/technologies/javase-jdk11-downloads.html) or use OpenJDK.\n- **Maven**\n - Download and install from [Maven's website](https://maven.apache.org/download.cgi).\n\n### Installation\n\n1. **Clone the Repository**\n\n ```bash\n git clone https://github.com/yourusername/pochify.git\n cd pochify\n ```\n\n2. **Build the Project with Maven**\n\n ```bash\n mvn clean package\n ```\n\n This will compile the project and package it into a runnable JAR file located in the `target` directory.\n\n3. **Run the Application**\n\n ```bash\n java -jar target/pochify-1.0.jar\n ```\n\n Make sure to adjust the JAR file name according to the version generated.\n\n## How to Play\n\n1. **Launch the Game**\n\n Run the application using the command above.\n\n2. **Select Number of Players**\n\n - Choose between 3, 4, or 5 players on the startup screen.\n\n3. **Enter Player Names**\n\n - Input custom names for each player in the provided text fields.\n\n4. **Place Bids**\n\n - Players take turns to place their bids.\n - The last player is restricted from making a bid that would make the total bids equal to the number of cards in the round.\n\n5. **View Round Details**\n\n - After all bids are placed, the round details are displayed, including round number, type, number of cards, and player bids.\n\n6. **Input Tricks Won**\n\n - Each player inputs the number of tricks they won in the round.\n\n7. **View Updated Scores**\n\n - Scores are calculated based on bids and tricks won.\n - The updated scores are displayed for all players.\n\n8. **Proceed to Next Round**\n\n - The starting player rotates, and the next round begins.\n - Repeat the bidding and playing process until the game concludes.\n\n## Project Structure\n\n- **`src/main/java/org/example/pochi/`**: Contains the main application and controllers.\n - **`GameApplication.java`**: The entry point of the application.\n - **Controllers**:\n - `GameController.java`: Handles the initial game setup.\n - `SetPlayerNamesController.java`: Manages player name input.\n - `NewRoundController.java`: Manages bidding for each round.\n - `GameDetailsController.java`: Displays round details.\n - `FinalizeRoundController.java`: Handles input of tricks won.\n - `ViewScoresController.java`: Displays updated scores after each round.\n- **`src/main/java/org/example/pochi/backend/`**: Contains game logic and data models.\n - **`Partida.java`**: Manages game state, player rotation, and round progression.\n - **`Jugador.java`**: Represents a player with attributes like name, score, and current bid.\n - **`TipusRonda.java`**: Enum defining different types of rounds.\n- **`src/main/resources/org/example/pochi/`**: Contains FXML files for the UI layouts.\n - `game-view.fxml`: Startup screen for selecting the number of players.\n - `set-player-names-view.fxml`: Screen for entering player names.\n - `new-round-view.fxml`: Screen where players place their bids.\n - `game-details-view.fxml`: Displays details after bidding.\n - `finalize-round-view.fxml`: Screen where players input the number of tricks won.\n - `view-scores-view.fxml`: Displays updated scores after each round.\n\n## Technologies Used\n\n- **Java 11 or higher**\n- **JavaFX**\n- **Maven**\n\n## Contributors\n\n- **Jaume Costa** - [jeiidev@proton.me](mailto:jeiidev@proton.me)\n- **Noa Capellas** - [ainoa.cpalen@gmail.com](mailto:ainoa.cpalen@gmail.com)\n\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- **Hackathon Organizers**: For providing the platform to develop this project.\n- **JavaFX Community**: For resources and tutorials that aided development.\n- **Testers**: Friends and colleagues who tested the game and provided valuable feedback.\n\n---"", ""readme_length"": 5282, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 490}, {""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": "".mvn"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 5284}, {""path"": ""mvnw"", ""type"": ""file"", ""size"": 10284}, {""path"": ""mvnw.cmd"", ""type"": ""file"", ""size"": 6734}, {""path"": ""pom.xml"", ""type"": ""file"", ""size"": 4873}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 31, ""dirs_total_count"": 14, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +57,Pratello,A data analysis project focused on examining banking transactions to detect and investigate potential fraudulent activities.,https://github.com/lucat1/ubs-lauz,"[""Fabio Gaiba"", ""Gabriele Genovese"", ""Erik Koci"", ""Luca Tagliavini""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:57,57,Pratello,"[""https://github.com/lucat1/ubs-lauz""]",1,"[{""input_url"": ""https://github.com/lucat1/ubs-lauz"", ""owner"": ""lucat1"", ""repo_name"": ""ubs-lauz"", ""repo"": ""ubs-lauz"", ""name_with_owner"": ""lucat1/ubs-lauz"", ""url"": ""https://github.com/lucat1/ubs-lauz"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:54:37Z"", ""updated_at"": ""2024-12-01T12:05:08Z"", ""pushed_at"": ""2024-12-01T10:52:06Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 29905}, {""language"": ""Nix"", ""size"": 280}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 23, ""first_commit_date_default_branch"": ""2024-11-30T12:54:22Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:51:56Z"", ""last_commit_oid_default_branch"": ""6cb799b348e2fa66a6e1ff7cb796d48340b9151a"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""lucat1"", ""contributions"": 18, ""html_url"": ""https://github.com/lucat1""}, {""login"": ""faguccio"", ""contributions"": 3, ""html_url"": ""https://github.com/faguccio""}, {""login"": ""geno"", ""contributions"": 2, ""html_url"": null}], ""readme_title"": ""Development"", ""readme_text"": ""# Development\n\n```\n$ poetry shell\n$ code .\n```"", ""readme_length"": 46, ""files_root_entries"": [{""path"": "".gitattributes"", ""type"": ""file"", ""size"": 42}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 15}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 46}, {""path"": ""account_booking_test.csv"", ""type"": ""file"", ""size"": 134}, {""path"": ""account_booking_train.csv"", ""type"": ""file"", ""size"": 131}, {""path"": ""boilerplate.ipynb"", ""type"": ""file"", ""size"": 1024}, {""path"": ""cache.ipynb"", ""type"": ""file"", ""size"": 1983}, {""path"": ""coarse_filter.ipynb"", ""type"": ""file"", ""size"": 23028}, {""path"": ""d_city.pkl"", ""type"": ""file"", ""size"": 38735526}, {""path"": ""d_name.pkl"", ""type"": ""file"", ""size"": 43262635}, {""path"": ""external_parties_test.csv"", ""type"": ""file"", ""size"": 134}, {""path"": ""external_parties_train.csv"", ""type"": ""file"", ""size"": 132}, {""path"": ""fg-notebook.ipynb"", ""type"": ""file"", ""size"": 3870}, {""path"": ""poetry.lock"", ""type"": ""file"", ""size"": 193885}, {""path"": ""pyproject.toml"", ""type"": ""file"", ""size"": 409}, {""path"": ""shell.nix"", ""type"": ""file"", ""size"": 280}], ""files_total_count"": 16, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +58,Sales forcasting,"We are forcasting the data, and creating a website to show them",https://github.com/leonielc/Lauzhack,"[""Hana Salvetova"", ""Isabelle Maazi"", ""Léonie Le Cheviller""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:58,58,Sales forcasting,"[""https://github.com/leonielc/Lauzhack""]",1,"[{""input_url"": ""https://github.com/leonielc/Lauzhack"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'leonielc/Lauzhack'.\""}]"", ""owner"": ""leonielc"", ""repo"": ""Lauzhack""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +59,Sandia Team,"If the box isn't right for you, throw it away",https://github.com/VictorDeLamo/lh-bobst-challenge,"[""Isaac Bassas Batista"", ""Josep Martinez Garcia"", ""Santi Oliver Suriñach"", ""Victor""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:59,59,Sandia Team,"[""https://github.com/VictorDeLamo/lh-bobst-challenge""]",1,"[{""input_url"": ""https://github.com/VictorDeLamo/lh-bobst-challenge"", ""owner"": ""VictorDeLamo"", ""repo_name"": ""lh-bobst-challenge"", ""repo"": ""lh-bobst-challenge"", ""name_with_owner"": ""VictorDeLamo/lh-bobst-challenge"", ""url"": ""https://github.com/VictorDeLamo/lh-bobst-challenge"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:25:42Z"", ""updated_at"": ""2024-12-01T10:55:56Z"", ""pushed_at"": ""2024-12-01T10:55:53Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 10175}, {""language"": ""JavaScript"", ""size"": 8956}, {""language"": ""CSS"", ""size"": 2178}, {""language"": ""HTML"", ""size"": 1721}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 21, ""first_commit_date_default_branch"": ""2024-11-30T16:52:59Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:55:43Z"", ""last_commit_oid_default_branch"": ""002bc5d508a6c63a70ee9f5fd36db7448f2e0621"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""masep01"", ""contributions"": 15, ""html_url"": ""https://github.com/masep01""}, {""login"": ""Victor de Lamo"", ""contributions"": 4, ""html_url"": null}, {""login"": ""surinyach"", ""contributions"": 2, ""html_url"": ""https://github.com/surinyach""}], ""readme_title"": ""Lauzhack 2024"", ""readme_text"": ""# Lauzhack 2024\n\nBobst Challenge\n\nTeam:\n- Isaac\n- Santi\n- Victor\n- Josep"", ""readme_length"": 72, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 13}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 73}, {""path"": ""main.py"", ""type"": ""file"", ""size"": 10175}, {""path"": ""webapp"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 27, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +60,SBB Data,Tschuu Tschuu,https://gitlab.epfl.ch/jzgragge/lauzhack_sbb,"[""Alexander Odermatt""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:60,60,SBB Data,[],0,[],2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +61,Self Sovereign Ecolens,"Apply Self Sovereing Identity Paradigm in order to decentralize Ecolens App, thus guranteeing users the control of their private data!",https://github.com/sid030sid/self-sovereign-ecolens,"[""Sid Lamichhane""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:61,61,Self Sovereign Ecolens,"[""https://github.com/sid030sid/self-sovereign-ecolens""]",1,"[{""input_url"": ""https://github.com/sid030sid/self-sovereign-ecolens"", ""owner"": ""sid030sid"", ""repo_name"": ""self-sovereign-ecolens"", ""repo"": ""self-sovereign-ecolens"", ""name_with_owner"": ""sid030sid/self-sovereign-ecolens"", ""url"": ""https://github.com/sid030sid/self-sovereign-ecolens"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T11:33:48Z"", ""updated_at"": ""2024-12-30T13:00:56Z"", ""pushed_at"": ""2024-12-01T10:23:46Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 41759}, {""language"": ""HTML"", ""size"": 3171}, {""language"": ""CSS"", ""size"": 792}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 8, ""first_commit_date_default_branch"": ""2024-11-30T10:20:25Z"", ""last_commit_date_default_branch"": ""2024-12-01T09:54:21Z"", ""last_commit_oid_default_branch"": ""285ef98d12d8ddfbdb387f87f4c8a707a7d78c7f"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""sid030sid"", ""contributions"": 8, ""html_url"": ""https://github.com/sid030sid""}], ""readme_title"": ""Self-sovereign Ecolens"", ""readme_text"": ""# Self-sovereign Ecolens\n\n## About\nEcolens is a mobile app for students to gain points for chosing environmentally friendly meals offered on-campus. These ``eco-points`` can be used for rewards, such as discounts for the next meals or little prices. Besides, this financial incentive, Ecolens uses gamification to additionally motivate students to chose the environemntally for facilitating (Read more on the Ecolens Project [here](https://zeroemission.group/ecolens/)). This repo provides the technical infrastructure to issue and verify eco-points using the Self-Sovereign Identiy paradigm that guranteeis the sovereignity of students over their private data while guranteeing the functionality of the ecolens application.\n\n## Repo overview\n- Branch `issuer-web-app` contains a web app that issuers of eco-points can use during the conduct of their ordinary business. issuers of eco-points are restaurants or food stands on-campus that sell meals to students and use Ecolens to reward them for chosing their ecologically friendly meal choices. \n- Branch `verfifier-web-app` contains an examplary web app that can be used by verifiers of eco-points. In general, verifiers of eco-points are legal entities that accept eco-points to give out discounts, prizes, or any other financial incentives. The examplary web app is for restaurants that allow their customers to buy meals with eco-points, thus incentivising environmentally friendly food consumption.+\n- **NOTE**: the code in the folders `issuer` and `verifier` should be ignored!\n\n## How to...\n### ... set up?\nTBA\n\n### ... start web app for issuer and verifier of eco-point Verifiable Credentials?\nTBA\n\n## FAQ\n### Why use Ecolens as a student?\nGet Eco-points which can be used to get financial rewards for eating ecofriendly meals on-campus. Share your sustainable eating habit to your fellow students to encourage them to eat ecofriendly as well...without comprising your privacy thanks to Ecolen's usage of Zero Knowledge Proofs.\n\n### Why use Ecolens as a restaurant?\nBrandy your restaurant to be eco-friendly and an advocate of a sustainable future.\n\n### Why accept eco-points awarded through Ecolens for discounts, prices, and other financial incentives?\nBy accepting eco-points, their owners have more options to use their eco-points for financial rewards, motivating them to continue eating ecofriendly. Moreover, the more options there are to use eco-points in daily business processes, the more people will join Ecolens and thus the movement of eating stustainbly. Therefore, legal entities accepting eco-points for discounts, prices, or other financial incentives"", ""readme_length"": 2627, ""files_root_entries"": [{""path"": "".gitattributes"", ""type"": ""file"", ""size"": 66}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 17}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2628}, {""path"": ""issuer"", ""type"": ""dir"", ""size"": 0}, {""path"": ""verifier"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 55, ""dirs_total_count"": 20, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +62,SmartNotes,"An AI-powered note-taking and study assistant that helps students organize, review, and collaborate on course materials seamlessly.",https://github.com/Kooleum/Lauzhack-2024-SmartNotes,"[""Alexandre Benzonana""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:62,62,SmartNotes,"[""https://github.com/Kooleum/Lauzhack-2024-SmartNotes""]",1,"[{""input_url"": ""https://github.com/Kooleum/Lauzhack-2024-SmartNotes"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'Kooleum/Lauzhack-2024-SmartNotes'.\""}]"", ""owner"": ""Kooleum"", ""repo"": ""Lauzhack-2024-SmartNotes""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +63,Smoles,Smart Insole connected to an app,https://github.com/Zakhurf/Smoles,"[""Alex Baumann"", ""Bogdan Boucher""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:63,63,Smoles,"[""https://github.com/Zakhurf/Smoles""]",1,"[{""input_url"": ""https://github.com/Zakhurf/Smoles"", ""owner"": ""Zakhurf"", ""repo_name"": ""Smoles"", ""repo"": ""Smoles"", ""name_with_owner"": ""bogdan-boucher/Smoles"", ""url"": ""https://github.com/bogdan-boucher/Smoles"", ""description"": ""Smart insole connected to an app"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T18:38:59Z"", ""updated_at"": ""2024-12-01T10:06:10Z"", ""pushed_at"": ""2024-12-01T10:36:36Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""C++"", ""languages_top"": [{""language"": ""C++"", ""size"": 23759}, {""language"": ""CMake"", ""size"": 19408}, {""language"": ""Dart"", ""size"": 14088}, {""language"": ""Swift"", ""size"": 1702}, {""language"": ""C"", ""size"": 1425}, {""language"": ""HTML"", ""size"": 1216}, {""language"": ""Kotlin"", ""size"": 119}, {""language"": ""Objective-C"", ""size"": 38}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 10, ""first_commit_date_default_branch"": ""2024-11-30T18:38:59Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:06:06Z"", ""last_commit_oid_default_branch"": ""de1b5e0fbdf57d90cb6f975cb207b327026a5ff4"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""bogdan-boucher"", ""contributions"": 10, ""html_url"": ""https://github.com/bogdan-boucher""}], ""readme_title"": ""Smoles"", ""readme_text"": ""# Smoles\nSmart insole connected to an app for a Hackathon.\nIn developpement (things should be added later)\n\nA preview of the thing so far :\n\n"", ""readme_length"": 245, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 709}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 246}, {""path"": ""smoles"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 138, ""dirs_total_count"": 65, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +64,SolomonTracker,Innovating traceability and tracking of anything with secure and unique codes implemented via coding theory.,https://github.com/SolomonTracker,"[""Elies Garcia Alvira"", ""Pol Gonzalo Martí"", ""Ignasi Fernandez Bilbeny"", ""Víctor Méndez""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:64,64,SolomonTracker,"[""https://github.com/SolomonTracker/.github"", ""https://github.com/SolomonTracker/bobstelemetry"", ""https://github.com/SolomonTracker/bobstracker""]",3,"[{""input_url"": ""https://github.com/SolomonTracker/.github"", ""owner"": ""SolomonTracker"", ""repo_name"": "".github"", ""repo"": "".github"", ""name_with_owner"": ""SolomonTracker/.github"", ""url"": ""https://github.com/SolomonTracker/.github"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, 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""type"": ""file"", ""size"": 3048}, {""path"": ""test.png"", ""type"": ""file"", ""size"": 46894}, {""path"": ""test_orig.png"", ""type"": ""file"", ""size"": 111126}, {""path"": ""toy_ex.png"", ""type"": ""file"", ""size"": 4256}, {""path"": ""venv"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 1484, ""dirs_total_count"": 154, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +65,Spellz,Team-Building with Magic Spells: We are battling with magic sticks,https://github.com/joriba/lauzhack-2024/,"[""Alain Pascal Sinzig"", ""Darja Babineca"", ""Jonas Rindlisbacher"", ""Miro Scheidegger""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:65,65,Spellz,"[""https://github.com/joriba/lauzhack-2024""]",1,"[{""input_url"": ""https://github.com/joriba/lauzhack-2024"", ""owner"": ""joriba"", ""repo_name"": ""lauzhack-2024"", ""repo"": ""lauzhack-2024"", ""name_with_owner"": ""joriba/lauzhack-2024"", ""url"": ""https://github.com/joriba/lauzhack-2024"", ""description"": ""VR Unity Project using the MX-Ink pen"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:50:43Z"", ""updated_at"": ""2024-12-01T11:44:37Z"", ""pushed_at"": ""2024-12-01T11:44:32Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 2, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 18410}, {""language"": ""Python"", ""size"": 2000}, {""language"": ""Dockerfile"", ""size"": 1187}, {""language"": ""HTML"", ""size"": 486}, {""language"": ""Shell"", ""size"": 385}, {""language"": ""CSS"", ""size"": 138}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 47, ""first_commit_date_default_branch"": ""2024-11-30T12:50:44Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:44:22Z"", ""last_commit_oid_default_branch"": ""b738263307ce9ea65a0ed3632977f50015f65d23"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""Alone2"", ""contributions"": 27, ""html_url"": ""https://github.com/Alone2""}, {""login"": ""joriba"", ""contributions"": 18, ""html_url"": ""https://github.com/joriba""}, {""login"": ""Babineca Darja"", ""contributions"": 1, ""html_url"": null}, {""login"": ""mirosch"", ""contributions"": 1, ""html_url"": ""https://github.com/mirosch""}], ""readme_title"": ""LauzHack 2024 Project"", ""readme_text"": ""# LauzHack 2024 Project\n\n_Wizard Battles_\nWe are battling with magic sticks\n\n## Upload to test\n```\n./tools/upload.sh testinstancename\n```\n* Will be available under `https://spellz.a1n.ch/testinstancename`\n\n## Upload to prod\n```\nnpm run build\n./tools/upload.sh\n```\n* Will be available under `https://spellz.a1n.ch/`\n\n## Upload to test\n\nName your test-instance, here (as an example `testinstanename`)\n```\nnpm run build\n./tools/upload.sh testinstancename\n```\n* Will be available under `https://spellz.a1n.ch/testinstancename`"", ""readme_length"": 522, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 1503}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1070}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 525}, {""path"": ""TODO.md"", ""type"": ""file"", ""size"": 159}, {""path"": ""compose.yaml"", ""type"": ""file"", ""size"": 485}, {""path"": ""dockerfiles"", ""type"": ""dir"", ""size"": 0}, {""path"": ""nginx_config"", ""type"": ""dir"", ""size"": 0}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 33826}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 446}, {""path"": ""server"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""static"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tools"", ""type"": ""dir"", ""size"": 0}, {""path"": ""vite.config.js"", ""type"": ""file"", ""size"": 819}], ""files_total_count"": 32, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +66,Spotlight,A security and observability tool for visual object detection through live video feeds.,https://lauzhack.vercel.app/,"[""Mario Carcota"", ""Oliviero Pinotti""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:66,66,Spotlight,[],0,[],2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +67,succo di frutta,"UBS project from ""succo di frutta"" team",https://github.com/AndreaIannoli/JuicyBank,"[""Andrea Iannoli"", ""Andreea Scrob"", ""Daniele Cacciapaglia"", ""Gianmaria Rovelli""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:67,67,succo di frutta,"[""https://github.com/AndreaIannoli/JuicyBank""]",1,"[{""input_url"": ""https://github.com/AndreaIannoli/JuicyBank"", ""owner"": ""AndreaIannoli"", ""repo_name"": ""JuicyBank"", ""repo"": ""JuicyBank"", ""name_with_owner"": ""AndreaIannoli/JuicyBank"", ""url"": ""https://github.com/AndreaIannoli/JuicyBank"", ""description"": ""The repo for the UBS LauzHack's challenge"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:06:30Z"", ""updated_at"": ""2024-12-01T13:23:53Z"", ""pushed_at"": ""2024-12-01T10:45:38Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 26814}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 9, ""first_commit_date_default_branch"": ""2024-11-30T13:06:30Z"", ""last_commit_date_default_branch"": ""2024-12-01T10:45:26Z"", ""last_commit_oid_default_branch"": ""d1b84652411bc50ab6083e91bca878f7c035f7bb"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""giammirove"", ""contributions"": 6, ""html_url"": ""https://github.com/giammirove""}, {""login"": ""AndreaIannoli"", ""contributions"": 3, ""html_url"": ""https://github.com/AndreaIannoli""}], ""readme_title"": ""JuicyBank"", ""readme_text"": ""# JuicyBank\nThe repo for the UBS LauzHack's challenge\n\nGianmaria Rovelli - gianmaria.rovelli@epfl.ch\nDaniele Cacciapaglia - cacciapagliadaniele8@gmail.com\nAndrea Iannoli - andrea.iannoli01@gmail.com\nAndreea Scrob - andreea.scrob@studio.unibo.it\n\nKaggle Team Name : `succo di frutta`"", ""readme_length"": 282, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3139}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1070}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 283}, {""path"": ""scripts"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 6, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +68,Text Sentiment Classification of Tweets,"Using the dataset from https://www.aicrowd.com/challenges/epfl-ml-text-classification We try to predict if a tweet message used to contain a positive :) or negative :( smiley, by considering only the remaining text.",https://github.com/CS-433/ml-project-2-natural-stupidity,"[""Can Hu"", ""Sean Wang""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:68,68,Text Sentiment Classification of Tweets,"[""https://github.com/CS-433/ml-project-2-natural-stupidity""]",1,"[{""input_url"": ""https://github.com/CS-433/ml-project-2-natural-stupidity"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'CS-433/ml-project-2-natural-stupidity'.\""}]"", ""owner"": ""CS-433"", ""repo"": ""ml-project-2-natural-stupidity""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +69,Third party banking entity identifier,We are aiming to create an algorithm for UBS to be able to identify third party accounts reliably accross multiple identities to be able to retrace money laundering operations. 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"", ""readme_text"": ""

\n \n \""Logo\""\n \n\n

TraceXR

\n\n

\n Meta Quest application for Vitol challenge to track and recognize objects and patterns in Mixed Reality.\n
\n Report bug\n ·\n Request feature\n

\n

\n\n\n## Table of contents\n\n- [Quick start](#quick-start)\n- [About this project](#about-this-project)\n- [Status](#status)\n- [What's included](#whats-included)\n- [Bugs and feature requests](#bugs-and-feature-requests)\n- [Creators](#creators)\n- [Copyright and license](#copyright-and-license)\n\n\n## Quick start\n\n### Model download - ONNX format\nYou can find our ONNX model for EfficientNet B7 trained on TU-Berlin Sketch dataset in [Google Drive](https://drive.google.com/file/d/1s6j8zwpggz0hqwEiRSArXn19FGD4639y/view?usp=sharing).\n\n## About this project\n\nThis project combines multiple challenges from [LauzHack](https://lauzhack.com/) of [EPFL, Switzerland](https://www.epfl.ch/en/), which are proposed by companies such as [AXA Group](https://axa.com/) (an Artificial Intelligence model that can run on a laptop, mobile device, or immersive device), [Logitech](https://www.logitech.com/) (using the [MX Ink](https://www.logitech.com/es-es/products/vr/mx-ink.html) together with the [Meta Quest 3/3S](https://www.meta.com/ch/en/quest/quest-3/) to create a Mixed Reality (XR) application), and primarily [Vitol](https://www.vitol.com/) (creating an AI service for recognizing static and moving objects and/or a chatbot capable of interacting with the user).\n\nAs shown in the image below, this project is a multi-agent AI system combining Speech-To-Text with [OpenAI Whisper](https://openai.com/index/whisper/) for multi-agent routing and generating written responses when necessary using [Qwen2.5-0.5b](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct-GGUF). It also utilizes [YoLo11](https://github.com/ultralytics/ultralytics) for object detection in images, an [EfficientNet-B7](https://pytorch.org/vision/main/models/efficientnet.html) ([Arxiv](https://arxiv.org/pdf/1905.11946)) for recognizing patterns or drawings made with the MX Ink, and finally, [OpenAI TTS](https://platform.openai.com/docs/guides/text-to-speech) for Text-to-Speech.\n\n\""Multi\n\nThe implementation within the Meta Quest has been done using WebXR. For more information... [WebXR]( https://github.com/JG03dev/WebXR)\n\n## Status\n\nDuring the LauzHack is in development\n\n## What's included\n\n\n```text\nagent-src/\n│ ├── agent/\n│ │ ├── image_prepos.py\n│ │ ├── router.py\n│ │ └── main.py\n│ └── data-models/\n│ ├── label_mapping.pkl\n│ └── efficientnet_b7.onnx\n├── models/\n│ ├──efficient_net_b7.ipynb\n│ ├──mobile_net.ipynb\n│ └──yolov8.ipynb\n├── assets/\n├── examples/\n├── .env.example\n├── requirements.txt\n```\n\n## Bugs and feature requests\n\nHave a bug or a feature request? Please first read the [issue guidelines](https://reponame/blob/master/CONTRIBUTING.md) and search for existing and closed issues. If your problem or idea is not addressed yet, [please open a new issue](https://reponame/issues/new).\n\n\n## Creators\n\n **Gabriel Juan**\n - GitHub: [@GabrielJuan349](https://github.com/GabrielJuan349)\n - LinkedIn: [in/gabi-juan](https://www.linkedin.com/in/gabi-juan)\n\n**Jan Gras**\n - GitHub: [@JG03dev](https://github.com/JG03dev)\n - LinkedIn: [in/jangras](https://www.linkedin.com/in/jangras/)\n\n**Yeray Cordero**\n - GitHub: [@yeray142](https://github.com/yeray142)\n - LinkedIn: [in/yeray142](https://www.linkedin.com/in/yeray142/)\n\n**Nikalas Boyanov**\n - GitHub: [@finnithegamer](https://github.com/finnithegamer)\n - LinkedIn: [in/nikalas-boyanov-nunev](https://www.linkedin.com/in/nikalas-boyanov-nunev)\n\n## Copyright and license\n\nCode and documentation copyright 2024-2036 the authors. Code released under the [MIT License](https://reponame/blob/master/LICENSE).\n\nEnjoy :metal:"", ""readme_length"": 4238, ""files_root_entries"": [{""path"": "".env.example"", ""type"": ""file"", ""size"": 50}, {""path"": "".github"", ""type"": ""dir"", ""size"": 0}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 3171}, {""path"": "".gitmodules"", ""type"": ""file"", ""size"": 78}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1069}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 4357}, {""path"": ""WebXR"", ""type"": ""file"", ""size"": 0}, {""path"": ""agent-src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""examples"", ""type"": ""dir"", ""size"": 0}, {""path"": ""models"", ""type"": ""dir"", ""size"": 0}, {""path"": ""presentation Slides"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 1149}], ""files_total_count"": 23, ""dirs_total_count"": 9, ""has_tests"": false, ""has_docs"": false, ""has_ci"": true, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +71,UBS Challenge,matching algorithm,https://github.com/aminecheikh/UBSChallengeLauzHack24,"[""Mohamed Amine Cheikh"", ""Donia Gasmi"", ""Nour Guermazi""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:71,71,UBS Challenge,"[""https://github.com/aminecheikh/UBSChallengeLauzHack24""]",1,"[{""input_url"": ""https://github.com/aminecheikh/UBSChallengeLauzHack24"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'aminecheikh/UBSChallengeLauzHack24'.\""}]"", ""owner"": ""aminecheikh"", ""repo"": ""UBSChallengeLauzHack24""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +72,UBS Hackers,UBS challenge,https://github.com/theChopix/lauzhack24,"[""Chiara Delvecchio"", ""Sayantan Biswas"", ""Christoph Landolt"", ""Jan Krátký""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:72,72,UBS Hackers,"[""https://github.com/theChopix/lauzhack24""]",1,"[{""input_url"": ""https://github.com/theChopix/lauzhack24"", ""owner"": ""theChopix"", ""repo_name"": ""lauzhack24"", ""repo"": ""lauzhack24"", ""name_with_owner"": ""theChopix/lauzhack24"", ""url"": ""https://github.com/theChopix/lauzhack24"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:46:03Z"", ""updated_at"": ""2024-12-01T09:00:29Z"", ""pushed_at"": ""2024-12-01T11:03:35Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 35245}, {""language"": ""Python"", ""size"": 1765}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 4, ""first_commit_date_default_branch"": ""2024-11-30T18:59:21Z"", ""last_commit_date_default_branch"": ""2024-12-01T09:00:22Z"", ""last_commit_oid_default_branch"": ""1fce46e0b6fffa55e5bd5f7f2a99629f6947b6e1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""Sayantan0013"", ""contributions"": 2, ""html_url"": ""https://github.com/Sayantan0013""}, {""login"": ""clandolt"", ""contributions"": 1, ""html_url"": ""https://github.com/clandolt""}, {""login"": ""theChopix"", ""contributions"": 1, ""html_url"": ""https://github.com/theChopix""}], ""readme_title"": ""lauzhack24"", ""readme_text"": ""# lauzhack24"", ""readme_length"": 12, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 12}, {""path"": ""elastic.ipynb"", ""type"": ""file"", ""size"": 35245}, {""path"": ""test_predictions.py"", ""type"": ""file"", ""size"": 1765}], ""files_total_count"": 3, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +73,UBS project,First draft for the training of a transaction detection for the UBS project,https://github.com/Stargix/UBS-LauzHack,"[""Claudia Gallego Torralbo"", ""Paula Esteve Sabater"", ""Sergi Flores Marín""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:73,73,UBS project,"[""https://github.com/Stargix/UBS-LauzHack""]",1,"[{""input_url"": ""https://github.com/Stargix/UBS-LauzHack"", ""owner"": ""Stargix"", ""repo_name"": ""UBS-LauzHack"", ""repo"": ""UBS-LauzHack"", ""name_with_owner"": ""Stargix/UBS-LauzHack"", ""url"": ""https://github.com/Stargix/UBS-LauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T13:12:34Z"", ""updated_at"": ""2025-12-12T23:16:25Z"", ""pushed_at"": ""2025-04-23T20:45:51Z"", ""stars"": 1, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 1659237}, {""language"": ""Python"", ""size"": 7016}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 73, ""first_commit_date_default_branch"": ""2024-11-30T13:15:36Z"", ""last_commit_date_default_branch"": ""2025-04-23T20:45:50Z"", ""last_commit_oid_default_branch"": ""929f69ffc20ab642a43ebe7083cc953f223cf8a4"", ""pull_requests_total"": 1, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 1, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""gallego-c"", ""contributions"": 29, ""html_url"": ""https://github.com/gallego-c""}, {""login"": ""paulaa2"", ""contributions"": 26, ""html_url"": ""https://github.com/paulaa2""}, {""login"": ""Stargix"", ""contributions"": 18, ""html_url"": ""https://github.com/Stargix""}], ""readme_title"": ""Entity Resolution System"", ""readme_text"": ""# Entity Resolution System\n\n## Transaction Identity Matching for Financial Services\n\nAn advanced entity resolution model developed during LauzHack 2024 in Switzerland that identifies and groups transactions belonging to the same external entities, even when their true identities are obscured.\n\n## Project Overview\n\nThis project was created in response to UBS's challenge at LauzHack 2024. Our system employs sophisticated modeling techniques to uncover hidden relationships between financial transactions, allowing for accurate entity mapping despite identity obfuscation.\n\n## Key Features\n\n- **Identity Matching**: Identifies when seemingly separate transactions belong to the same external entity\n- **Transaction Clustering**: Groups related transactions to reveal patterns and relationships\n- **Entity Resolution**: Uncovers true identities of external parties across multiple transactions\n- **Pattern Recognition**: Detects common signatures that indicate same-entity origin\n\n## Technical Challenge\n\nThe project presented several complex technical hurdles:\n1. Working with obfuscated identity data\n2. Creating reliable matching algorithms despite limited identifiers\n3. Balancing precision and recall in entity resolution\n4. Processing and analyzing large transaction datasets efficiently\n\n## Development Process\n\nOur team tackled this ambitious challenge by:\n- Analyzing transaction patterns to identify potential identity markers\n- Developing algorithmic approaches to match entities across different transactions\n- Creating clustering methods to group transactions by probable entity\n- Testing and refining our models under tight hackathon constraints\n\n## Applications\n\nThis entity resolution system has potential applications in:\n- Anti-money laundering (AML) operations\n- Fraud detection\n- Customer relationship management\n- Regulatory compliance\n- Risk assessment\n\n## Team Members\n\n- Paula Esteve\n- Sergi Flores\n- Clàudia Gallego\n\n## Acknowledgements\n\nSpecial thanks to UBS for presenting such a challenging and educational problem, and to the LauzHack 2024 organizers for creating an outstanding event environment that fostered innovation and collaboration.\n\n## Learning Outcomes\n\nThe project provided valuable experience in:\n- Advanced modeling techniques\n- Problem-solving under pressure\n- Cross-functional team collaboration\n- Handling complex financial data structures\n- Entity resolution methodologies"", ""readme_length"": 2418, ""files_root_entries"": [{""path"": ""FINAL.ipynb"", ""type"": ""file"", ""size"": 316911}, {""path"": ""Graphs"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2420}, {""path"": ""Similituds_nom.py"", ""type"": ""file"", ""size"": 6031}, {""path"": ""__pycache__"", ""type"": ""dir"", ""size"": 0}, {""path"": ""data"", ""type"": ""dir"", ""size"": 0}, {""path"": ""filtered_clusters.xlsx"", ""type"": ""file"", ""size"": 208452}, {""path"": ""main sergi.ipynb"", ""type"": ""file"", ""size"": 1342326}, {""path"": ""web.py"", ""type"": ""file"", ""size"": 985}], ""files_total_count"": 560, ""dirs_total_count"": 3, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +74,UBS_TECH,"The model is a hybrid entity resolution system combining rule-based logic and similarity metrics (e.g., Jaro-Winkler, Levenshtein) to match and group records representing the same entity. It balances precision and scalability, with optional embedding integration for contextual understanding.",https://github.com/jofremosegui/lauzhack,"[""Daniela Pamelin Alvarez Guarneros"", ""Elena Alegret"", ""Jofre Moseguí Monterde"", ""Andrea Quiroz""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:74,74,UBS_TECH,"[""https://github.com/jofremosegui/lauzhack""]",1,"[{""input_url"": ""https://github.com/jofremosegui/lauzhack"", ""owner"": ""jofremosegui"", ""repo_name"": ""lauzhack"", ""repo"": ""lauzhack"", ""name_with_owner"": ""jofremosegui/lauzhack"", ""url"": ""https://github.com/jofremosegui/lauzhack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T12:21:21Z"", ""updated_at"": ""2024-12-01T11:00:47Z"", ""pushed_at"": ""2024-12-01T11:00:43Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 46038}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 11, ""first_commit_date_default_branch"": ""2024-11-30T12:21:22Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:00:43Z"", ""last_commit_oid_default_branch"": ""ba3c3953a933ed34732747200d1767693b2287ac"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""elenaalegret"", ""contributions"": 9, ""html_url"": ""https://github.com/elenaalegret""}, {""login"": ""Jofre Moseguí"", ""contributions"": 1, ""html_url"": null}, {""login"": ""jofremosegui"", ""contributions"": 1, ""html_url"": ""https://github.com/jofremosegui""}], ""readme_title"": ""
LauzHack - EPFL
"", ""readme_text"": ""
LauzHack - EPFL
\n\n

UBS Efficient Entity Resolution: Clustering and Embedding-Based Matching

\n\n
\nDaniela Álvarez, Elena Alegret, Jofre Moseguí, Andrea Quiroz\n
\n\n
\nThis project focuses on resolving external counterparties efficiently by combining clustering, embeddings, and similarity-based classification. Instead of comparing all entities exhaustively, we use clustering and embedding-based techniques to narrow down potential matches, significantly improving computational efficiency and scalability.\n
\n\n###### The Challenge\nComparing 1.4 million entities directly is computationally prohibitive, leading to billions of pairwise comparisons. Our approach minimizes this complexity by:\n1. Pre-clustering entities into ~1400 groups using K-Means.\n2. Embedding new entries to find their nearest cluster centroid.\n3. Resolving entities within clusters based on similarity measures.\n\n#### Workflow overview\n\n

\n \""Screenshot\n \""Screenshot\n\n

\n\n

\n Figure 1: K-Means Structure Overview       \n Figure 2: New Entry Structure Overview \n\n

"", ""readme_length"": 1541, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3139}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1544}, {""path"": ""exploration.ipynb"", ""type"": ""file"", ""size"": 46038}], ""files_total_count"": 3, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +75,VisionAI Assistant,"VisionAI Assistant is an intelligent multimedia processing tool that leverages AI to analyze images, transcribe audio, and process text. It provides an interactive interface for users to submit and retrieve multimedia data, with support for text-to-speech and real-time server com... (hover for more)",https://github.com/D0men1c0/LauzHack,"[""Antonio Giuseppe Doronzo"", ""Domenico Lacavalla"", ""Matteo Balice"", ""Shubham Panth""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:75,75,VisionAI Assistant,"[""https://github.com/D0men1c0/LauzHack""]",1,"[{""input_url"": ""https://github.com/D0men1c0/LauzHack"", ""owner"": ""D0men1c0"", ""repo_name"": ""LauzHack"", ""repo"": ""LauzHack"", ""name_with_owner"": ""D0men1c0/LauzHack"", ""url"": ""https://github.com/D0men1c0/LauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T16:48:48Z"", ""updated_at"": ""2025-04-30T21:45:38Z"", ""pushed_at"": ""2024-12-03T20:46:35Z"", ""stars"": 3, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 1716644}, {""language"": ""Python"", ""size"": 46061}, {""language"": ""Dart"", ""size"": 24808}, {""language"": ""C++"", ""size"": 24562}, {""language"": ""CMake"", ""size"": 19513}, {""language"": ""Ruby"", ""size"": 2803}, {""language"": ""Swift"", ""size"": 2043}, {""language"": ""C"", ""size"": 1425}, {""language"": ""HTML"", ""size"": 1224}, {""language"": ""Dockerfile"", ""size"": 477}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 58, ""first_commit_date_default_branch"": ""2024-11-30T19:52:09Z"", ""last_commit_date_default_branch"": ""2024-12-03T20:46:25Z"", ""last_commit_oid_default_branch"": ""f4d11f4d3dfbe3badbf8e24b2078f7b4988cbd8b"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""Tonio635"", ""contributions"": 38, ""html_url"": ""https://github.com/Tonio635""}, {""login"": ""bralani"", ""contributions"": 9, ""html_url"": ""https://github.com/bralani""}, {""login"": ""D0men1c0"", ""contributions"": 9, ""html_url"": ""https://github.com/D0men1c0""}, {""login"": ""DevIos01"", ""contributions"": 2, ""html_url"": ""https://github.com/DevIos01""}], ""readme_title"": ""VisionAI Assistant"", ""readme_text"": ""# VisionAI Assistant\n\n**VisionAI Assistant** is a mobile application designed to analyze and interpret visual content using advanced artificial intelligence technologies. Users can upload images and video and interact with the system via natural language inputs, whether through text or voice commands. The application processes these inputs to provide comprehensive insights, including object detection, segmentation, and the extraction of specific attributes from images.\n\nThis project was developed during the **Lauz Hack** hackathon at EPFL in just **22 hours**, with a team of four people collaborating on distinct fields to parallelize the work. The roles were divided as follows:\n- **NLP Specialist**: Focused on natural language query understanding and feature extraction.\n- **Computer Vision Engineer**: Developed the segmentation pipeline and integrated it with the SAM model.\n- **Frontend Developer**: Built the Flutter-based user interface to handle multi-modal input and display results.\n- **Backend and Cloud Developer**: Deployed and hosted the system on **AWS EC2**, ensuring stable and scalable performance. Additionally, managed the Flask server to facilitate seamless communication between the models and the frontend.\n\nGiven the tight timeframe, this architecture demonstrates the team's efficiency in integrating state-of-the-art AI models into a functional and scalable system. However, there is significant potential for future improvements.\n\n---\n\n## Architecture Overview\n\nThe application architecture is composed of several key components:\n\n### **Frontend**\n- Built using **Flutter**, enabling cross-platform interface. \n- The frontend supports multiple modes of interaction, allowing users to provide inputs via:\n - Text\n - Voice recordings\n - Directly uploaded images (video support is planned for future improvements).\n\n### **Backend**\n- Developed with **Flask**, a lightweight Python-based web framework.\n- Manages:\n - Communication between the user interface and the AI models.\n - Image processing and segmentation tasks.\n - Query analysis and result presentation.\n\n### **Hosting**\n- The Flask server and all AI models are deployed on an **AWS EC2 instance**, ensuring scalability and reliable performance.\n\n### **Natural Language Understanding**\n- We used **SBERT (Sentence-BERT)** to process the user's natural language query. SBERT identifies the main object or feature to analyze into complex input (e.g., \""cars\"" in the query *\""Hey, could you tell me how many red trucks with certain size are at the center of the image?\""*).\n- The similarity-based approach allows the system to match the query against predefined classes like \""cars,\"" \""boats,\"" \""trees\"", or \""people.\""\n\n### **Computer Vision Model**\n- Image segmentation is performed using **Meta's Segment Anything Model (SAM 2)**, which processes the image based on instructions derived from the user's query. \n- SAM is combined with **natural language prompts**, improving its capability to segment objects or regions of interest directly from the text input. \n - GitHub Repo: [lang-segment-anything](https://github.com/luca-medeiros/lang-segment-anything)\n\n### **Prompt Processing and Feature Extraction**\n- After the **SAM model** segments the image, it outputs bounding boxes representing each detected segment. These bounding boxes, along with their coordinates, are stored in a dataset. \n- Our system computes and populates additional features for each segment (e.g., color, size, position) through feature engineering based on the raw segmentation data. \n- **ChatGPT (GPT-4o)** is then used to interpret the user's natural language prompt and execute code that filters the dataset to extract relevant results:\n - For example:\n - Query: *\""How many red ships are in this picture?\""*\n - Workflow:\n 1. The precomputed dataset contains attributes for each segment (`Object: Boat`, `Color: Red`, `Size`, `Area`, `Coordinate`, etc.).\n 2. GPT parses the user's query, identifies the relevant features (e.g., `Object: Boat`, `Color: Red`), and writes code to filter the dataset accordingly.\n 3. The filtered dataset is analyzed to calculate the result (e.g., \""4 red boats\"").\n 4. The application visually highlights only the bounding boxes that match the query, overlaying them on the image.\n- This process leverages GPT to execute automated filtering and analysis while ensuring precision through precomputed features in the dataset.\n\n---\n\n## Workflow in Detail\n\n1. **User Input**\n - The user interacts with the app using natural language, either through text or voice. Example:\n > *\""Hi, can you segment all the red cars in the center of this image that are around 3 meters in size?\""*\n - If input is provided via voice, the **Whisper** speech-to-text model converts the recording into text.\n\n2. **Query Understanding**\n - The text input is processed by **SBERT**, which matches the query to predefined categories or classes. For instance:\n - Query: *\""red cars in the center\""*\n - Identified class: *\""Car\""*\n\n3. **Image Segmentation**\n - The **SAM 2 model** receives the image and the segmented class (e.g., *\""cars\""*).\n - SAM segments all objects of the identified class and outputs bounding boxes for each detected segment.\n\n4. **Dataset Creation and Feature Engineering**\n - The bounding boxes from SAM are used to create a dataset, with each segment annotated with attributes such as:\n - **Color**: Detected through pixel-level analysis of the segment.\n - **Size**: Computed based on the dimensions of the bounding box.\n - **Position**: Derived from the coordinates of the bounding box within the image.\n - This dataset forms the foundation for all subsequent analysis.\n\n5. **Query Refinement and Filtering**\n - The natural language query, along with the dataset, is passed to **ChatGPT (GPT-4o)**. \n - GPT interprets the query and generates code to filter the dataset based on the requested features. For example:\n - Query: *\""How many red trucks are in this image?\""*\n - GPT writes and executes code to:\n 1. Filter segments where `Object = Truck` and `Color = Red`.\n 2. Count the filtered segments.\n - This automated process ensures the dataset is refined to match the user’s request.\n\n6. **Output Presentation**\n - The filtered dataset is used to generate the final visual output.\n - Relevant segments are highlighted directly on the image (e.g., bounding boxes around red trucks).\n - The results (e.g., \""4 red trucks\"") are displayed in the app’s user interface, along with the annotated image.\n\n---\n\n\n## Advantages of VisionAI Assistant\n\n### **Enhanced Query Capabilities**\nUnlike general-purpose multimodal models (e.g., ChatGPT with basic image input), VisionAI Assistant allows users to make complex queries about specific image features. Examples include:\n- Counting objects of a specific type (e.g., *\""How many blue cars are in the parking lot?\""*).\n- Filtering objects by attributes like size, position, or color.\n\n### **Modular and Scalable Design**\nBy separating natural language processing, image segmentation, and feature extraction into distinct modules, the system is:\n- Easier to maintain and upgrade.\n- Scalable for more complex use cases, such as video analysis or real-time segmentation.\n\n### **Custom Feature Engineering**\nThe use of an intermediate dataset for feature engineering allows for advanced queries. For example:\n- *\""Which cars are red, larger than 3 meters, and located on the left side of the image?\""*\n- Such queries are processed efficiently using our feature engineering pipeline.\n\n---\n\n## Limitations and Future Improvements\n\n### **Current Limitations**\n- **Video Processing**: Currently, only image processing is supported due to the computational limits of the hosting server. Video support requires a stronger virtual machine for faster inference.\n- **Prompt Engineering**: While effective, further improvements in prompt refinement could enhance model accuracy and relevance.\n\n### **Future Enhancements**\n1. **Scalable Infrastructure**: Upgrading the hosting environment to handle high-throughput tasks like video processing.\n2. **Expanded Feature Set**: Adding more attributes (e.g., material type, motion patterns for video) to the dataset for richer analysis.\n3. **Interactive Query Refinement**: Allowing users to iteratively refine their queries based on intermediate results.\n\n---\n\n### **Conclusion**\n\nVisionAI Assistant demonstrates the potential of integrating advanced AI models with intuitive interfaces to tackle complex visual analysis tasks efficiently. Despite being developed in only **22 hours**, the system achieves a high level of functionality and modularity. The collaborative effort of specialists in NLP, Computer Vision, Backend Development, and Cloud Engineering highlights the power of parallelized teamwork. While the project shows great promise, there are clear opportunities for enhancement, particularly in scalability and feature richness."", ""readme_length"": 9004, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 41}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1065}, {""path"": ""NLP.ipynb"", ""type"": ""file"", ""size"": 1716644}, {""path"": ""NLP.py"", ""type"": ""file"", ""size"": 9801}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 9009}, {""path"": ""VisonAI - Mobile Application"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 166, ""dirs_total_count"": 70, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +76,Vitol-Gojo,"Image segmentation based on YOLO for live-streaming frames, identifying types and structures.",https://github.com/soohyukkkkkkkkkkk/vitol-gojo.git,"[""Zhuo Jin""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:76,76,Vitol-Gojo,"[""https://github.com/soohyukkkkkkkkkkk/vitol-gojo""]",1,"[{""input_url"": ""https://github.com/soohyukkkkkkkkkkk/vitol-gojo"", ""owner"": ""soohyukkkkkkkkkkk"", ""repo_name"": ""vitol-gojo"", ""repo"": ""vitol-gojo"", ""name_with_owner"": ""soohyukkkkkkkkkkk/vitol-gojo"", ""url"": ""https://github.com/soohyukkkkkkkkkkk/vitol-gojo"", ""description"": ""Image segmentation based on YOLO for live-streaming frames, identifying types and structures."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T17:50:29Z"", ""updated_at"": ""2024-11-30T18:01:04Z"", ""pushed_at"": ""2024-11-30T18:01:01Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Jupyter Notebook"", ""languages_top"": [{""language"": ""Jupyter Notebook"", ""size"": 21185}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 1, ""first_commit_date_default_branch"": ""2024-11-30T18:01:00Z"", ""last_commit_date_default_branch"": ""2024-11-30T18:01:00Z"", ""last_commit_oid_default_branch"": ""a5a97fbfa98683105b4d391088445a754a26261e"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""soohyukkkkkkkkkkk"", ""contributions"": 1, ""html_url"": ""https://github.com/soohyukkkkkkkkkkk""}], ""readme_title"": null, ""readme_text"": null, ""readme_length"": null, ""files_root_entries"": [{""path"": ""live_stream.ipynb"", ""type"": ""file"", ""size"": 21185}], ""files_total_count"": 1, ""dirs_total_count"": 0, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": true, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": false}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +77,vr quickdraw c,"This project, developed by @arnaldopower_29, @naimsg16, @zpidero, @NatalyJaya, is a Unity-based multiplayer application that leverages Photon Fusion to create a seamless and efficient matchmaking experience. The system is built around the generation of unique session ID keys that... (hover for more)",https://github.com/Zpidero/lauzhack2024-v2,"[""Nataly Yhislaine Jaya Salazar""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:77,77,vr quickdraw c,"[""https://github.com/Zpidero/lauzhack2024-v2""]",1,"[{""input_url"": ""https://github.com/Zpidero/lauzhack2024-v2"", ""error"": ""[{'type': 'NOT_FOUND', 'path': ['repository'], 'locations': [{'line': 3, 'column': 3}], 'message': \""Could not resolve to a Repository with the name 'Zpidero/lauzhack2024-v2'.\""}]"", ""owner"": ""Zpidero"", ""repo"": ""lauzhack2024-v2""}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +78,VRtuose,"Users can create music by drawing notes on virtual music sheets or directly in 3D space. As notes are drawn, they dynamically transform into playable sounds, creating an immersive and engaging music composition experience.",https://github.com/cyril87885/lauzHack,"[""Ahmed Ezzo"", ""Arnaud Favre"", ""Cyril Deloince"", ""Danaé Danycan""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:78,78,VRtuose,"[""https://github.com/cyril87885/lauzHack""]",1,"[{""input_url"": ""https://github.com/cyril87885/lauzHack"", ""owner"": ""cyril87885"", ""repo_name"": ""lauzHack"", ""repo"": ""lauzHack"", ""name_with_owner"": ""CyrilDeloince/lauzHack"", ""url"": ""https://github.com/CyrilDeloince/lauzHack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T08:52:41Z"", ""updated_at"": ""2024-12-09T23:42:12Z"", ""pushed_at"": ""2024-12-01T12:20:21Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""C#"", ""languages_top"": [{""language"": ""C#"", ""size"": 3650470}, {""language"": ""ShaderLab"", ""size"": 88111}, {""language"": ""JavaScript"", ""size"": 33264}, {""language"": ""Objective-C++"", ""size"": 27576}, {""language"": ""Mathematica"", ""size"": 16133}, {""language"": ""HLSL"", ""size"": 14421}, {""language"": ""Objective-C"", ""size"": 1196}, {""language"": ""C"", ""size"": 1148}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 29, ""first_commit_date_default_branch"": ""2024-11-30T08:52:41Z"", ""last_commit_date_default_branch"": ""2024-12-01T12:20:21Z"", ""last_commit_oid_default_branch"": ""b9130d2fa0617ce17b0a33d8b9d7974086bb3af8"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""Arlakhian"", ""contributions"": 12, ""html_url"": ""https://github.com/Arlakhian""}, {""login"": ""ahmedc3ca"", ""contributions"": 10, ""html_url"": ""https://github.com/ahmedc3ca""}, {""login"": ""CyrilDeloince"", ""contributions"": 4, ""html_url"": ""https://github.com/CyrilDeloince""}, {""login"": ""danaedanycan"", ""contributions"": 3, ""html_url"": ""https://github.com/danaedanycan""}], ""readme_title"": ""**VRtuoso** 🎶"", ""readme_text"": ""# **VRtuoso** 🎶 \n*Master Music in Virtual Reality*\n\n---\n\n## **Overview**\n**VRtuoso** is a Unity-powered VR game that merges music, rhythm, and immersive technology. \nSimply **plug in your VR headset**, launch the game, and experience the thrill of reading and playing music in real-time! \nNo setup, no complexity—just music and fun.\n\n---\n\n## **Features**\n- 🎵 **Effortless Setup**: Plug in your VR headset, launch the game, and start playing. \n- 🎼 **Interactive Music Scores**: Follow a glowing line to strike notes in perfect time. \n- 🧠 **Educational & Fun**: Improve sight-reading and rhythm skills while having fun. \n- 🌟 **Immersive Gameplay**: Dive into an intuitive, visually stunning VR environment. \n\n---\n\n## **How It Works**\n1. **Start VRtuoso**: \n - Launch the game from your VR headset. \n\n2. **Follow the Timeline**: \n - Strike notes as they align with the glowing timeline. \n\n3. **Score Points**: \n - Play accurately to rack up points and improve your skills. \n\n4. **Enjoy the Music**: \n - Let the rhythm guide you through an unforgettable VR experience. \n\n---\n\n## **Requirements**\n- **VR Headset**: Oculus, HTC Vive, or any VR-compatible device. \n- **PC**: VR-ready system for optimal performance. \n\n---\n\n## **Quick Setup**\n1. **Download VRtuoso**. \n2. **Connect your VR headset**. \n3. **Launch and play**—no extra configuration required! \n\n---\n\n> **🎻 Become the VRtuoso you’ve always dreamed of and master the art of music in VR!**"", ""readme_length"": 1471, ""files_root_entries"": [{""path"": "".DS_Store"", ""type"": ""file"", ""size"": 6148}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1498}, {""path"": ""fusion-stickynotes-meta-ssa-colocation-2"", ""type"": ""dir"", ""size"": 0}, {""path"": ""toto.txt"", ""type"": ""file"", ""size"": 5}], ""files_total_count"": 2386, ""dirs_total_count"": 334, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +79,WearIt,Keep track of your garderobe with our app and get outfit recommendations,https://github.com/Matthieu-Andre/Lauzhack_2024,"[""Matthias Schuller"", ""Matthieu Andre"", ""Sloan Zammouri""]",,,LauzHack 2024,2024,"EPFL, Lausanne, Switzerland",id:79,79,WearIt,"[""https://github.com/Matthieu-Andre/Lauzhack_2024""]",1,"[{""input_url"": ""https://github.com/Matthieu-Andre/Lauzhack_2024"", ""owner"": ""Matthieu-Andre"", ""repo_name"": ""Lauzhack_2024"", ""repo"": ""Lauzhack_2024"", ""name_with_owner"": ""Matthieu-Andre/Lauzhack_2024"", ""url"": ""https://github.com/Matthieu-Andre/Lauzhack_2024"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2024-11-30T09:56:52Z"", ""updated_at"": ""2024-12-09T23:42:18Z"", ""pushed_at"": ""2024-12-01T11:05:00Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 32994}, {""language"": ""TypeScript"", ""size"": 24822}, {""language"": ""JavaScript"", ""size"": 1123}, {""language"": ""HTML"", ""size"": 279}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 63, ""first_commit_date_default_branch"": ""2024-11-30T09:56:52Z"", ""last_commit_date_default_branch"": ""2024-12-01T11:04:57Z"", ""last_commit_oid_default_branch"": ""c8a5890abea0958ff56d2c5ebcd73ae956e8d5ad"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""maschull106"", ""contributions"": 45, ""html_url"": ""https://github.com/maschull106""}, {""login"": ""SloDamn"", ""contributions"": 10, ""html_url"": ""https://github.com/SloDamn""}, {""login"": ""Matthieu-Andre"", ""contributions"": 8, ""html_url"": ""https://github.com/Matthieu-Andre""}], ""readme_title"": ""WearIt: Your Smart Dressing Companion 👗👕🎽"", ""readme_text"": ""# WearIt: Your Smart Dressing Companion 👗👕🎽\n\n![WearIt Logo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/logo.png?raw=true \""WearIt Logo\"")\nhttps://github.com/Matthieu-Andre/Lauzhack_2024?tab=readme-ov-file\n**WearIt** is a mobile application designed to make your mornings easier and your wardrobe smarter. By cataloging your clothes, WearIt provides daily outfit recommendations tailored to your preferences, the weather, and more. Whether you're a student with a packed wardrobe or someone looking to streamline their dressing process, WearIt has you covered.\n\n---\n\n## 🛠 Features\n- **Wardrobe Organizer** \n Easily add clothes with photos. The app automatically detects the type of clothing and extracts features like color and weather suitability. \n\n- **Daily Outfit Suggestions** \n Get personalized outfit ideas that match your style, the weather, and the occasion.\n\n- **Weather-Based Recommendations** \n WearIt integrates real-time weather updates to ensure your outfit is always appropriate.\n\n- **Usage Insights** \n Discover patterns in your wardrobe usage and rediscover neglected items.\n\n- **Simplified Morning Routine** \n Spend less time deciding what to wear and more time being confident in your look.\n\n---\n\n## 🎯 Who Is It For?\n**WearIt** is perfect for: \n- **Students** managing cluttered wardrobes. \n- **Busy Professionals** who want stress-free mornings. \n- **Anyone** aiming to maximize their clothing collection and dress effortlessly.\n\n---\n\n## 🚀 Getting Started\n\n### Prerequisites\n- A smartphone with Android or iOS.\n- An internet connection for weather updates.\n\n---\n\n## 📚 Tech Stack\n- **Frontend:** [React Native](https://reactnative.dev/) for a smooth, cross-platform experience. \n- **Backend:** [FastAPI](https://fastapi.tiangolo.com/) for robust API services. \n- **Database:** SQLite for lightweight and efficient data management. \n- **Weather API:** Accurate weather data for context-aware recommendations. \n- **Prototyping:** [Figma](https://www.figma.com/) was used to design and refine the user interface.\n\n---\n\n## 🌟 Vision for the Future\n- **3D Outfit Visualization**: See your outfits on a 3D model of yourself for better visualization. \n- **Friend Networks**: Share your \""Outfit of the Day\"" with friends and vote on each other's next-day outfits. \n- **Advanced Style Tips**: AI-powered recommendations based on fashion trends. \n- **Event-Specific Outfits**: Suggestions tailored to specific occasions. \n\n---\n\n**WearIt**: Transform your wardrobe, simplify your mornings, and own your style! \n\n\n\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s1.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s2.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s3.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s4.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s5.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s6.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s7.png?raw=true)\n![Demo](https://github.com/Matthieu-Andre/Lauzhack_2024/blob/main/assets/s8.png?raw=true)"", ""readme_length"": 3282, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 3217}, {""path"": ""App"", ""type"": ""dir"", ""size"": 0}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1071}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 3306}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""clothes"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 791}, {""path"": ""server"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 113, ""dirs_total_count"": 15, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2024,https://2024.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 30 - December 1,2024-11-30,2024-12-01,"{'linkedin': 'https://linkedin.com/in/yassine-kouch-08b186195', 'instagram': 'https://instagram.com/lauzhack', 'github': 'https://github.com/LauzHack'}",2026-03-09T10:19:09.003660 +1,logilinux,"We decided to fill a major pain-point of the Logitech Master Series, and Logi Options+: The lack of Linux support. Being low-level engineers, and also linux users, we found that this ecosystem had little to no linux support, and any open source solutions were quite-frankly lacking. Logi Options+ provides a lot of customization and features that no available solutions on linux do, and Logitech's proprietary software does not currently support linux. Hence, we decided to reverse engineer the proto",https://github.com/logilinux/,"[""Arjun Juneja"", ""Rudrrayan Manna""]","[""1st Place Overall"", ""Logitech Challenge Special Mention"", ""JetBrains Challenge 4th Place""]","[""1st Place Overall"", ""Logitech Challenge Special Mention"", ""JetBrains Challenge 4th Place""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:1,1,logilinux,"[""https://github.com/logilinux/.github"", ""https://github.com/logilinux/logilinux"", ""https://github.com/logilinux/logilinux-gui"", ""https://github.com/logilinux/logilinux-sdk""]",4,"[{""input_url"": ""https://github.com/logilinux/.github"", ""owner"": ""logilinux"", ""repo_name"": "".github"", ""repo"": "".github"", ""name_with_owner"": ""logilinux/.github"", ""url"": ""https://github.com/logilinux/.github"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2025-11-23T08:29:08Z"", ""updated_at"": ""2025-11-23T09:28:29Z"", ""pushed_at"": ""2025-11-23T09:28:25Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 0, ""primary_language"": null, ""languages_top"": [], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2025-11-23T08:29:08Z"", ""last_commit_date_default_branch"": ""2025-11-23T09:28:25Z"", ""last_commit_oid_default_branch"": ""f5d7f28af7741ff08902bae0f1e2bfe3e543c78d"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""ron0studios"", ""contributions"": 5, ""html_url"": ""https://github.com/ron0studios""}], ""readme_title"": ""logilinux"", ""readme_text"": ""# logilinux"", ""readme_length"": 11, ""files_root_entries"": [{""path"": ""README.md"", ""type"": ""file"", ""size"": 11}, {""path"": ""profile"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 2, ""dirs_total_count"": 1, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/logilinux/logilinux"", ""owner"": ""logilinux"", ""repo_name"": ""logilinux"", ""repo"": ""logilinux"", ""name_with_owner"": ""logilinux/logilinux"", ""url"": ""https://github.com/logilinux/logilinux"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2025-11-22T11:20:49Z"", ""updated_at"": ""2026-02-21T19:25:37Z"", ""pushed_at"": ""2026-02-03T18:27:12Z"", ""stars"": 7, ""forks"": 2, ""watchers"": 1, ""primary_language"": ""C++"", ""languages_top"": [{""language"": ""C++"", ""size"": 129768}, {""language"": ""CMake"", ""size"": 4477}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 22, ""first_commit_date_default_branch"": ""2025-11-22T11:21:38Z"", ""last_commit_date_default_branch"": ""2026-02-03T18:27:12Z"", ""last_commit_oid_default_branch"": ""b2d8d03aaabec2253a63cf5713235e04f2471d6e"", ""pull_requests_total"": 3, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 3, ""issues_total"": 3, ""issues_open"": 1, ""issues_closed"": 2, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 3, ""contributors_top"": [{""login"": ""ImArjunJ"", ""contributions"": 15, ""html_url"": ""https://github.com/ImArjunJ""}, {""login"": ""ron0studios"", ""contributions"": 5, ""html_url"": ""https://github.com/ron0studios""}, {""login"": ""GarThor"", ""contributions"": 2, ""html_url"": ""https://github.com/GarThor""}], ""readme_title"": ""LogiLinux - Logitech Device Library for Linux"", ""readme_text"": ""# LogiLinux - Logitech Device Library for Linux\n\nA C++ library and tools for interfacing with Logitech Creator devices on Linux, including the MX Dialpad and MX Keypad. This was made for LauzHack 2025.\n\n## What is This?\n\nLogiLinux provides a clean C++ library (liblogilinux) for working with Logitech input devices on Linux. It handles device discovery, event monitoring, and provides a type-safe API for building applications.\n\n## Quick Start\n\n### Building\n\n```bash\n./build.sh\n```\n\nOr manually:\n\n```bash\nmkdir build && cd build\ncmake ..\nmake -j$(nproc)\n```\n\n### Running Examples\n\n```bash\nsudo ./build/examples/dialpad-example\nsudo ./build/examples/mx-keypad-example \nsudo ./build/examples/volume-example\n```\n\n## Key Discovery\n\nThe MX Dialpad works as a standard Linux input device and sends events through the input subsystem. When you rotate the dial, it sends:\n\n- REL_HWHEEL (axis 6): Low-resolution steps (1-6 units per tick)\n- REL_MISC (axis 12): High-resolution angle (120 units per degree)\n- Positive values = clockwise, negative = counter-clockwise\n\n## Using the Library\n\n### Simple Example\n\n```cpp\n#include \n#include \n\nvoid onEvent(LogiLinux::EventPtr event) {\n if (auto rotation = std::dynamic_pointer_cast(event)) {\n std::cout << \""Rotated: \"" << rotation->delta << \"" steps\"" << std::endl;\n }\n if (auto button = std::dynamic_pointer_cast(event)) {\n std::cout << \""Button \"" << button->button_code << (button->pressed ? \"" pressed\"" : \"" released\"") << std::endl;\n }\n}\n\nint main() {\n LogiLinux::Library lib;\n auto device = lib.findDevice(LogiLinux::DeviceType::DIALPAD); // or MX_KEYPAD\n\n device->setEventCallback(onEvent);\n device->startMonitoring();\n\n return 0;\n}\n```\n\nCompile with:\n\n```bash\ng++ -std=c++17 myapp.cpp $(pkg-config --cflags --libs logilinux)\n```\n\nSee `lib/README.md` for full API documentation.\n\n## Prerequisites\n\n```bash\nsudo apt-get install build-essential cmake libudev-dev\nsudo dnf install gcc-c++ cmake libudev-devel\nsudo pacman -S base-devel cmake systemd\n```\n\n## Permissions\n\nTo avoid using sudo:\n\n```bash\nsudo bash -c 'cat > /etc/udev/rules.d/99-logitech.rules << EOF\nSUBSYSTEM==\""hidraw\"", KERNEL==\""hidraw*\"", ATTRS{idVendor}==\""046d\"", ATTRS{idProduct}==\""bc00\"", MODE=\""0666\""\nEOF'\n\nsudo udevadm control --reload-rules\nsudo udevadm trigger\n```\n\n## Supported Devices\n\n### MX Dialpad\n- Model: Logitech MX Dialpad \n- Vendor ID: `046d` (Logitech)\n- Product ID: `bc00`\n- Features: Rotation, button press, high-resolution scrolling\n- Protocol: HID++ 4.5\n\n### MX Keypad\n- Model: Logitech MX Creative Console / MX Keypad\n- Vendor ID: `046d` (Logitech) \n- Features: 9 programmable LCD buttons, navigation buttons\n- Capabilities: Button events, LCD image display, JPEG upload"", ""readme_length"": 2822, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 32}, {""path"": ""CMakeLists.txt"", ""type"": ""file"", ""size"": 242}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 2823}, {""path"": ""examples"", ""type"": ""dir"", ""size"": 0}, {""path"": ""lib"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tools"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 43, ""dirs_total_count"": 10, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/logilinux/logilinux-gui"", ""owner"": ""logilinux"", ""repo_name"": ""logilinux-gui"", ""repo"": ""logilinux-gui"", ""name_with_owner"": ""logilinux/logilinux-gui"", ""url"": ""https://github.com/logilinux/logilinux-gui"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2025-11-22T20:05:59Z"", ""updated_at"": ""2026-02-02T18:59:07Z"", ""pushed_at"": ""2025-11-23T10:34:33Z"", ""stars"": 2, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""TypeScript"", ""languages_top"": [{""language"": ""TypeScript"", ""size"": 175094}, {""language"": ""Rust"", ""size"": 44604}, {""language"": ""C++"", ""size"": 13879}, {""language"": ""CSS"", ""size"": 4251}, {""language"": ""C"", ""size"": 3151}, {""language"": ""JavaScript"", ""size"": 2455}, {""language"": ""CMake"", ""size"": 938}, {""language"": ""HTML"", ""size"": 664}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 19, ""first_commit_date_default_branch"": null, ""last_commit_date_default_branch"": null, ""last_commit_oid_default_branch"": ""59ece5eaf60eecd4e8c18be5db50cdd80dda420c"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 1, ""issues_open"": 1, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""ImArjunJ"", ""contributions"": 13, ""html_url"": ""https://github.com/ImArjunJ""}, {""login"": ""ron0studios"", ""contributions"": 6, ""html_url"": ""https://github.com/ron0studios""}], ""readme_title"": ""Logi## Features"", ""readme_text"": ""# Logi## Features\n\n- 🎯 **Real-time Device Detection** - Automatic discovery of connected Logitech devices\n- 🖱️ **Interactive Device Visualization** - Realistic 3D-styled device models with live feedback\n- 🎨 **Modern Dark UI** - Logi Options+ inspired design with smooth animations\n- 🔘 **Button Press Detection** - Visual feedback for all button interactions\n- 🎡 **Dial & Wheel Monitoring** - Separate tracking for main dial and scroll wheel\n- ⚡ **Event System** - Real-time device event monitoring and handling\n\nA modern, Logi Options+ inspired desktop application for configuring Logitech devices on Linux.\n\nBuilt with **Tauri 2.0** (Rust backend) + **React 18/TypeScript** (frontend) + **logilinux** C++ library.\n\n## Features\n\n- 🎯 **Real-time Device Detection** - Automatic discovery of connected Logitech devices\n- 🖱️ **Interactive Device Visualization** - Realistic 3D-styled device models with live feedback\n- 🎨 **Modern Dark UI** - Logi Options+ inspired design with smooth animations\n- � **Button Press Detection** - Visual feedback for all button interactions\n- 🎡 **Dial & Wheel Monitoring** - Separate tracking for main dial and scroll wheel\n- ⚡ **Event System** - Real-time device event monitoring and handling\n- � **Permission Management** - Automated udev rules setup for device access\n\n## Supported Devices\n\n- ✅ **MX Dialpad Mouse** - Full support (dial, wheel, 4 buttons)\n- 🚧 **MX Creative Console** - Partial support (keypad visualization)\n\n## Prerequisites\n\n### System Dependencies\n\n**Ubuntu/Debian:**\n\n```bash\nsudo apt install build-essential curl wget file \\\n libwebkit2gtk-4.1-dev libssl-dev \\\n libayatana-appindicator3-dev librsvg2-dev \\\n cmake pkg-config libudev-dev\n```\n\n**Arch Linux:**\n\n```bash\nsudo pacman -S base-devel curl wget file \\\n webkit2gtk-4.1 openssl \\\n libayatana-appindicator librsvg \\\n cmake pkgconf systemd\n```\n\n**Fedora:**\n\n```bash\nsudo dnf install gcc-c++ curl wget file \\\n webkit2gtk4.1-devel openssl-devel \\\n libappindicator-gtk3-devel librsvg2-devel \\\n cmake pkgconfig systemd-devel\n```\n\n### Development Tools\n\n```bash\n# Install Rust (required for Tauri)\ncurl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\nsource $HOME/.cargo/env\n\n# Install Node.js 20+ with pnpm\ncurl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash\nsource ~/.bashrc # or ~/.zshrc\nnvm install 20\nnpm install -g pnpm\n```\n\n## Building & Running\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/logilinux/logilinux-gui.git\ncd logilinux-gui\n```\n\n### 2. Install Dependencies\n\n```bash\n# Install frontend packages\npnpm install\n\n# Set up Python environment for custom actions (plugins)\n./setup_python.sh\n```\n\nThe Rust/C++ dependencies will be automatically built on first run.\n\n### 3. Run Development Build\n\n```bash\n# Run with Wayland compatibility fix (if needed)\nWEBKIT_DISABLE_COMPOSITING_MODE=1 pnpm tauri dev\n\n# Or just\npnpm tauri dev\n```\n\n### 4. Build Production Release\n\n```bash\n# Build production app (.deb package on Debian/Ubuntu)\npnpm tauri build\n\n# Output will be in: src-tauri/target/release/bundle/\n```\n\n## Project Structure\n\n```\nlogilinux-gui/\n├── src/ # React frontend (TypeScript)\n│ ├── components/ # UI components\n│ │ ├── layout/ # Layout components (Sidebar, etc)\n│ │ └── ui/ # shadcn/ui components\n│ ├── pages/ # Page components\n│ │ └── DevicesPage.tsx # Main device management page\n│ ├── lib/ # Utilities\n│ └── index.css # Global styles (device rendering CSS)\n│\n├── src-tauri/ # Rust backend (Tauri 2.0)\n│ ├── src/\n│ │ ├── commands/ # Tauri command handlers\n│ │ │ ├── devices.rs # Device discovery\n│ │ │ ├── events.rs # Event monitoring\n│ │ │ └── permissions.rs # Permission checking\n│ │ ├── logilinux/ # Rust FFI bindings\n│ │ │ ├── ffi.rs # Raw C bindings (auto-generated)\n│ │ │ └── mod.rs # Safe Rust wrappers\n│ │ └── main.rs # Tauri app entry point\n│ ├── build.rs # Build script (bindgen, CMake)\n│ ���── Cargo.toml # Rust dependencies\n│ └── tauri.conf.json # Tauri configuration\n│\n├── logilinux-ffi/ # C++ FFI wrapper library\n│ ├── CMakeLists.txt # CMake build config (fetches logilinux from GitHub)\n│ ├── include/\n│ │ └── logilinux_ffi.h # C-compatible header\n│ └── src/\n│ └── logilinux_ffi.cpp # C wrapper implementation\n│\n└── ref/ # Reference materials (not used in build)\n ├── logilinux/ # Local copy of logilinux library (reference only)\n └── mock_web/ # Design mockups\n```\n\n## Architecture\n\n```\n┌──────────────────────────────────┐\n│ React Frontend (TypeScript) │\n│ - DevicesPage.tsx │\n│ - Device visualization │\n│ - Event handling & state │\n└──────────┬───────────────────────┘\n │ Tauri IPC (invoke/listen)\n┌──────────▼───────────────────────┐\n│ Rust Backend (Tauri 2.0) │\n│ - discover_devices() │\n│ - start_device_monitoring() │\n│ - Event emission to frontend │\n└──────────┬───────────────────────┘\n │ FFI (bindgen)\n┌──────────▼───────────────────────┐\n│ C++ FFI Wrapper │\n│ - logilinux_ffi.cpp │\n│ - C-compatible interface │\n└──────────┬───────────────────────┘\n │ C++ API\n┌──────────▼───────────────────────┐\n│ logilinux Library (C++) │\n│ - Device communication │\n│ - Event callbacks │\n│ - HID++ protocol handling │\n└──────────────────────────────────┘\n```\n\n## How It Works\n\n1. **Frontend** (React) requests device discovery via Tauri command\n2. **Rust backend** calls C++ FFI wrapper functions\n3. **C++ wrapper** uses logilinux library to scan `/dev/input/*`\n4. **Device events** flow backwards through the stack:\n - C++ callback → Rust event handler → Tauri emit → React listener\n5. **UI updates** show real-time visual feedback (button presses, dial rotation)\n\n## Development Commands\n\n```bash\n# Frontend development (web preview only)\npnpm dev\n\n# Full Tauri app with hot reload\npnpm tauri dev\n\n# Build production binary\npnpm tauri build\n\n# Build specific bundle types\npnpm tauri build --bundles deb\npnpm tauri build --bundles appimage\n\n# Run Rust tests\ncd src-tauri && cargo test\n\n# Check Rust code quality\ncd src-tauri && cargo clippy\n\n# Clean build artifacts\nrm -rf src-tauri/target logilinux-ffi/build node_modules dist\n```\n\n## Troubleshooting\n\n### Device Not Detected\n\n1. **Check device files:**\n\n ```bash\n ls -l /dev/input/by-id/ | grep -i logitech\n ls -l /dev/input/event*\n ```\n\n2. **Test with console logs:**\n Open DevTools (Ctrl+Shift+I) and watch for device discovery logs.\n\n### Build Fails\n\n1. **Clean everything:**\n\n ```bash\n rm -rf src-tauri/target logilinux-ffi/build\n cargo clean\n pnpm tauri dev\n ```\n\n2. **Check CMake:**\n\n ```bash\n cmake --version # Should be 3.15+\n ```\n\n3. **Check bindgen dependencies:**\n ```bash\n sudo apt install libclang-dev # Ubuntu/Debian\n sudo pacman -S clang # Arch\n ```\n\n### Wayland Display Issues\n\nIf you see protocol errors:\n\n```bash\nWEBKIT_DISABLE_COMPOSITING_MODE=1 pnpm tauri dev\n```\n\n### Events Not Working\n\n1. **Check event monitoring started:**\n Look for \""✅ Device monitoring started\"" in console\n\n2. **Check exclusive grab:**\n Look for \""Device grabbed exclusively\"" message\n\n3. **Verify logilinux fetch:**\n ```bash\n ls logilinux-ffi/build/_deps/logilinux-src\n ```\n\n## Current Implementation Status\n\n### ✅ Completed Features\n\n- [x] Full Tauri 2.0 + React + TypeScript project setup\n- [x] Logi Options+ inspired dark UI (1100x700 fixed window)\n- [x] Realistic MX Dialpad device visualization with:\n - [x] Dot-textured casing\n - [x] 3D tactile buttons with visual press feedback\n - [x] Rotating main dial with indicator dot\n - [x] Rolling scroll wheel with ridges\n - [x] LED indicator\n- [x] C++ FFI wrapper (logilinux-ffi) auto-building via CMake\n- [x] Rust FFI bindings auto-generation via bindgen\n- [x] Device discovery polling (2-second intervals)\n- [x] Real-time event monitoring system:\n - [x] Button press/release detection (codes 275-278)\n - [x] Dial rotation tracking (accumulating angle)\n - [x] Wheel rotation tracking (separate from dial)\n - [x] C callback → Rust → Tauri emit → React flow\n- [x] Tauri 2.0 capabilities configuration\n- [x] Visual feedback animations (button scale, dial rotation, wheel roll)\n\n### 🚧 In Progress / Planned\n\n- [ ] Action mapping configuration\n- [ ] Profile management system\n- [ ] Settings persistence\n- [ ] Multi-device support\n- [ ] MX Creative Console full support\n- [ ] Custom button assignments\n- [ ] Application-specific profiles\n\n## Contributing\n\nContributions are welcome! Please see [PLAN_WEB.md](./PLAN_WEB.md) for the full development roadmap.\n\n## License\n\nGPL v3\n\n## Acknowledgments\n\n- Built on top of [logilinux](https://github.com/logilinux/logilinux) - The core C++ library for Logitech device communication\n- Powered by [Tauri](https://tauri.app/) - Rust-based desktop app framework\n- UI inspired by Logitech Options+ design language\n- Uses [shadcn/ui](https://ui.shadcn.com/) components"", ""readme_length"": 9305, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 1805}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 10279}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 664}, {""path"": ""logilinux-ffi"", ""type"": ""dir"", ""size"": 0}, {""path"": ""logilinux.config.json"", ""type"": ""file"", ""size"": 287}, {""path"": ""logilinux.config.json.template"", ""type"": ""file"", ""size"": 314}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 1255}, {""path"": ""pnpm-lock.yaml"", ""type"": ""file"", ""size"": 97406}, {""path"": ""postcss.config.js"", ""type"": ""file"", ""size"": 81}, {""path"": ""src-tauri"", ""type"": ""dir"", ""size"": 0}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}, {""path"": ""tailwind.config.js"", ""type"": ""file"", ""size"": 2374}, {""path"": ""tsconfig.json"", ""type"": ""file"", ""size"": 696}, {""path"": ""tsconfig.node.json"", ""type"": ""file"", ""size"": 233}, {""path"": ""vite.config.ts"", ""type"": ""file"", ""size"": 776}], ""files_total_count"": 55, ""dirs_total_count"": 18, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}, {""input_url"": ""https://github.com/logilinux/logilinux-sdk"", ""owner"": ""logilinux"", ""repo_name"": ""logilinux-sdk"", ""repo"": ""logilinux-sdk"", ""name_with_owner"": ""logilinux/logilinux-sdk"", ""url"": ""https://github.com/logilinux/logilinux-sdk"", ""description"": ""Python support for logitech"", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""master"", ""created_at"": ""2025-11-22T19:27:06Z"", ""updated_at"": ""2025-12-06T12:28:04Z"", ""pushed_at"": ""2025-11-22T23:46:50Z"", ""stars"": 1, ""forks"": 1, ""watchers"": 1, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 38849}, {""language"": ""C++"", ""size"": 7459}, {""language"": ""Shell"", ""size"": 1776}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 5, ""first_commit_date_default_branch"": ""2025-11-22T19:27:07Z"", ""last_commit_date_default_branch"": ""2025-11-22T23:46:48Z"", ""last_commit_oid_default_branch"": ""dc79207bb41e4805e05acdbbbb745d3b7a7144b7"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""ron0studios"", ""contributions"": 5, ""html_url"": ""https://github.com/ron0studios""}], ""readme_title"": ""logilinux-sdk"", ""readme_text"": ""# logilinux-sdk\n\nPythonic SDK for interfacing with Logitech Creator devices (MX Dialpad, MX Keypad) on Linux. Provides a clean plugin architecture inspired by the official C# SDK but with Python idioms.\n\n## Features\n\n- **Type-safe event system** - Dataclass-based events with full type hints\n- **Plugin architecture** - Create reusable plugins with Commands and Adjustments\n- **LCD display support** - Upload images to MX Keypad LCD buttons\n- **Clean lifecycle management** - Context managers and automatic cleanup\n- **Pythonic API** - Follows Python conventions while matching C# SDK naming\n\n## Installation\n\n### Prerequisites\n\n1. Build the C++ driver first:\n```bash\ncd logilinux-driver\n./build.sh\ncd ..\n```\n\n2. Install Python dependencies and the SDK:\n```bash\npip install -r requirements.txt\npip install -e .\n```\n\n3. Set library path and permissions (required for runtime):\n```bash\n# Option 1: Use helper script (handles sudo automatically)\n./scripts/run_with_lib.sh examples/simple_monitoring.py\n\n# Option 2: Manual with sudo\nexport LD_LIBRARY_PATH=$PWD/logilinux-driver/build/lib:$LD_LIBRARY_PATH\nsudo -E python examples/simple_monitoring.py\n\n# Option 3: Set up udev rules to avoid needing sudo (recommended)\nsudo bash -c 'cat > /etc/udev/rules.d/99-logitech-creative.rules << EOF\n# Logitech MX Creative Console - Dialpad\nSUBSYSTEM==\""hidraw\"", ATTRS{idVendor}==\""046d\"", ATTRS{idProduct}==\""bc00\"", MODE=\""0666\""\n# Logitech MX Creative Console - Keypad \nSUBSYSTEM==\""hidraw\"", ATTRS{idVendor}==\""046d\"", ATTRS{idProduct}==\""c354\"", MODE=\""0666\""\nEOF'\n\nsudo udevadm control --reload-rules\nsudo udevadm trigger\n\n# After udev rules, no sudo needed:\n./scripts/run_with_lib.sh examples/simple_monitoring.py\n```\n\n## Quick Start\n\n### Simple Event Monitoring\n\n```python\nfrom logilinux import Library, DeviceType, RotationEvent, ButtonEvent\n\nlib = Library()\ndevice = lib.find_device(DeviceType.DIALPAD)\n\ndef on_event(event):\n if isinstance(event, RotationEvent):\n print(f\""Dial rotated: {event.delta} steps\"")\n elif isinstance(event, ButtonEvent):\n print(f\""Button {event.button_code} {'pressed' if event.pressed else 'released'}\"")\n\ndevice.set_event_callback(on_event)\ndevice.start_monitoring()\n```\n\nRun with:\n```bash\n./scripts/run_with_lib.sh your_script.py\n```\n\n### Creating a Plugin\n\nThe SDK uses a plugin architecture matching the C# SDK patterns:\n\n```python\nfrom logilinux import Plugin, PluginCommand, PluginAdjustment\n\nclass MuteToggle(PluginCommand):\n \""\""\""Button command that toggles microphone mute.\""\""\""\n \n def __init__(self):\n super().__init__(\""Mic Toggle\"", \""Mute/unmute microphone\"", \""Audio\"")\n self.is_muted = False\n \n def run_command(self, action_parameter=\""\""):\n self.is_muted = not self.is_muted\n # Perform actual mute action here\n self.action_image_changed() # Update button image\n \n def get_command_image(self, action_parameter=\""\"", image_size=PluginImageSize.LARGE):\n # Return PIL Image for LCD button\n from PIL import Image, ImageDraw\n img = Image.new('RGB', (image_size.width, image_size.height))\n draw = ImageDraw.Draw(img)\n \n color = (200, 0, 0) if self.is_muted else (0, 200, 0)\n draw.rectangle([0, 0, image_size.width, image_size.height], fill=color)\n return img\n\n\nclass VolumeControl(PluginAdjustment):\n \""\""\""Dial adjustment that controls system volume.\""\""\""\n \n def __init__(self):\n super().__init__(\""Volume\"", \""System volume\"", \""Audio\"", has_reset=True)\n self.volume = 50\n \n def apply_adjustment(self, action_parameter=\""\"", diff=0):\n self.volume = max(0, min(100, self.volume + diff * 5))\n # Set system volume here\n self.adjustment_value_changed() # Update display\n \n def run_command(self, action_parameter=\""\""):\n # Reset to 50% when dial is pressed\n self.volume = 50\n self.adjustment_value_changed()\n \n def get_adjustment_value(self, action_parameter=\""\""):\n return f\""{self.volume}%\""\n\n\nclass MyPlugin(Plugin):\n \""\""\""Main plugin class.\""\""\""\n \n def load(self):\n # Initialize resources (API clients, timers, etc.)\n pass\n \n def unload(self):\n # Cleanup resources\n pass\n \n def get_commands(self):\n return [MuteToggle()]\n \n def get_adjustments(self):\n return [VolumeControl()]\n```\n\n### Running a Plugin\n\n```python\nfrom logilinux import PluginService, DeviceType\n\n# Create service and register plugin\nservice = PluginService()\nplugin = MyPlugin()\nservice.register_plugin(plugin)\n\n# Connect to devices\nkeypad = service.connect_device(DeviceType.MX_KEYPAD)\ndialpad = service.connect_device(DeviceType.DIALPAD)\n\n# Assign actions to buttons/dials\nmute_cmd = plugin.get_command('MuteToggle')\nservice.assign_button_action(keypad, 0, mute_cmd) # Grid button 0\n\nvolume_adj = plugin.get_adjustment('VolumeControl')\nservice.assign_dial_action(dialpad, volume_adj)\n\n# Run\nimport time\ntry:\n while True:\n time.sleep(0.1)\nexcept KeyboardInterrupt:\n service.shutdown()\n```\n\n## Architecture\n\nThe SDK follows a clean layered architecture:\n\n### C++ Bindings Layer (`_logilinux_native`)\n- Thin pybind11 wrapper over logilinux-driver\n- Direct 1:1 mapping to C++ API\n- No business logic\n\n### Core Layer (`logilinux.core`)\n- Pythonic wrappers: `Library`, `Device`, `MXKeypadDevice`\n- Type-safe events: `RotationEvent`, `ButtonEvent`, `DeviceEvent`\n- Context manager support for automatic cleanup\n\n### Plugin Layer (`logilinux.plugin`)\n- `Plugin` base class (matches C# SDK's Plugin)\n- `PluginService` for lifecycle management\n- Action routing and event handling\n\n### Actions Layer (`logilinux.actions`)\n- `PluginCommand` - Button press actions (matches C# SDK's PluginDynamicCommand)\n- `PluginAdjustment` - Dial rotation actions (matches C# SDK's PluginDynamicAdjustment)\n- Automatic state change notifications\n\n## API Overview\n\n### Core Classes\n\n- `Library()` - Main entry point for device discovery\n- `Device` - Base device interface\n- `MXKeypadDevice` - MX Keypad with LCD display support\n\n### Device Types\n\n- `DeviceType.DIALPAD` - MX Dialpad (dial + buttons)\n- `DeviceType.MX_KEYPAD` - MX Keypad (9 LCD buttons)\n\n### Events\n\n- `RotationEvent` - Dial/wheel rotation with delta and high-res info\n- `ButtonEvent` - Button press/release with button codes\n- `DeviceEvent` - Device connection/disconnection\n\n### Plugin System\n\n- `Plugin` - Base plugin class with load()/unload() lifecycle\n- `PluginCommand` - Button action with run_command() and get_command_image()\n- `PluginAdjustment` - Dial action with apply_adjustment() and get_adjustment_value()\n- `PluginService` - Service managing plugin lifecycle and device routing\n\n## Examples\n\nSee the `examples/` directory:\n\n- `simple_monitoring.py` - Basic event monitoring\n- `example_plugin.py` - Full plugin with commands and adjustments\n\n## Requirements\n\n- Python 3.7+\n- pybind11\n- Pillow (PIL)\n- Built logilinux C++ library (in logilinux-driver submodule)\n\n## License\n\nSee LICENSE file."", ""readme_length"": 6998, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 810}, {""path"": "".gitmodules"", ""type"": ""file"", ""size"": 104}, {""path"": ""LICENSE"", ""type"": ""file"", ""size"": 1068}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 6999}, {""path"": ""examples"", ""type"": ""dir"", ""size"": 0}, {""path"": ""logilinux-driver"", ""type"": ""file"", ""size"": 0}, {""path"": ""logilinux"", ""type"": ""dir"", ""size"": 0}, {""path"": ""python"", ""type"": ""dir"", ""size"": 0}, {""path"": ""requirements.txt"", ""type"": ""file"", ""size"": 31}, {""path"": ""scripts"", ""type"": ""dir"", ""size"": 0}, {""path"": ""setup.py"", ""type"": ""file"", ""size"": 2016}, {""path"": ""src"", ""type"": ""dir"", ""size"": 0}], ""files_total_count"": 25, ""dirs_total_count"": 7, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": true, ""has_readme_file"": true}]",2025,https://2025.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 22-23,2025-11-22,2025-11-23,"{'github': 'https://github.com/LauzHack', 'linkedin': 'https://linkedin.com/in/yelizaveta-kulynych', 'instagram': 'https://instagram.com/lauzhack'}",2026-03-09T10:19:06.555301 +2,KnowTube,"KnowTube is a learning companion that transforms YouTube videos into structured, active study materials. Instead of passively watching, learners can upload or link a video and instantly get a clean transcript, comprehension quizzes, and spaced‑repetition‑friendly flashcards generated from the key ideas in the content. + +Behind the scenes, KnowTube analyzes the video’s transcript to detect concepts, definitions, and relationships, then builds question sets and flashcards that encourage recall rath",https://github.com/faresfawzi/kNOw-tube/,"[""Dominik Glandorf"", ""Fares Fawzi"", ""Seyed Parsa Neshaei"", ""Abhinand Shibu""]","[""2nd Place Overall""]","[""2nd Place Overall""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:2,2,KnowTube,"[""https://github.com/faresfawzi/kNOw-tube""]",1,"[{""input_url"": ""https://github.com/faresfawzi/kNOw-tube"", ""owner"": ""faresfawzi"", ""repo_name"": ""kNOw-tube"", ""repo"": ""kNOw-tube"", ""name_with_owner"": ""faresfawzi/kNOw-tube"", ""url"": ""https://github.com/faresfawzi/kNOw-tube"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2025-11-22T09:06:28Z"", ""updated_at"": ""2026-03-03T13:56:18Z"", ""pushed_at"": ""2025-11-28T17:19:07Z"", ""stars"": 1, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 76656}, {""language"": ""TypeScript"", ""size"": 67031}, {""language"": ""C#"", ""size"": 17764}, {""language"": ""Jupyter Notebook"", ""size"": 5831}, {""language"": ""HTML"", ""size"": 2448}, {""language"": ""CSS"", ""size"": 2372}, {""language"": ""JavaScript"", ""size"": 2309}, {""language"": ""Dockerfile"", ""size"": 924}, {""language"": ""Shell"", ""size"": 114}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 68, ""first_commit_date_default_branch"": ""2025-11-22T09:06:28Z"", ""last_commit_date_default_branch"": ""2025-11-28T17:18:37Z"", ""last_commit_oid_default_branch"": ""c888429665ce2318b419b12c328e0c7de9cafda1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""dominikglandorf"", ""contributions"": 24, ""html_url"": ""https://github.com/dominikglandorf""}, {""login"": ""abhinandshibu"", ""contributions"": 23, ""html_url"": ""https://github.com/abhinandshibu""}, {""login"": ""faresfawzi"", ""contributions"": 11, ""html_url"": ""https://github.com/faresfawzi""}, {""login"": ""spneshaei"", ""contributions"": 10, ""html_url"": ""https://github.com/spneshaei""}], ""readme_title"": ""kNOw-tube"", ""readme_text"": ""# kNOw-tube\n\nYou can run in dev, with: `docker compose up --build`\n- hot reloading is on\n\nIf you install new dependencies, then need to rerun: \n1. `docker compose down`\n2. `docker compose up --build`\n\nTo use the extension in Chrome:\n1. Go to `chrome://extensions/`\n2. Enable \""Developer mode\"" (top right)\n3. Click \""Load unpacked\""\n4. Select the `kNOwtube-chrome-plugin` folder\n5. The extension should now be loaded and ready to use!\n6. Use together client for the LLMs\n\n-- \n## Example for together\n\n``` \nresponse = client.chat.completions.create(\n model=model,\n messages=[\n {\""role\"": \""user\"", \""content\"": prompt},\n ],\n temperature=temperature,\n # max_tokens=max_output_tokens,\n )\n```\n\n# Logitech plugin\n1. Install Logitech Options+ from https://www.logitech.com/de-ch/software/logi-options-plus.html\n2. open ./logitech-plugin/ExamplePlugin/Example.lplug4 with LogiPluginService"", ""readme_length"": 922, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 34}, {""path"": ""KnowTubeDemo.mov"", ""type"": ""file"", ""size"": 12270935}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 923}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 839}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""kNOwtube-chrome-plugin"", ""type"": ""dir"", ""size"": 0}, {""path"": ""logitech-plugin"", ""type"": ""dir"", ""size"": 0}, {""path"": ""logo.pptx"", ""type"": ""file"", ""size"": 33343}], ""files_total_count"": 117, ""dirs_total_count"": 23, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2025,https://2025.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 22-23,2025-11-22,2025-11-23,"{'github': 'https://github.com/LauzHack', 'linkedin': 'https://linkedin.com/in/yelizaveta-kulynych', 'instagram': 'https://instagram.com/lauzhack'}",2026-03-09T10:19:06.555301 +3,showcAIse,"AI-powered presentation analysis tool that provides instant feedback on your speaking performance. Upload a video and get detailed insights on delivery, pacing, confidence, and areas to improve. Will also provide a generated audio giving an example of how you should ideally present.",https://github.com/oscardef/showcAIse,"[""Fatumah Binta Sakho Doukouré"", ""Oscar de Francesca"", ""Ismail Nour"", ""Kristyn Dede Korboe""]","[""3rd Place Overall"", ""Huawei Challenge 2nd Place""]","[""3rd Place Overall"", ""Huawei Challenge 2nd Place""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:3,3,showcAIse,"[""https://github.com/oscardef/showcAIse""]",1,"[{""input_url"": ""https://github.com/oscardef/showcAIse"", ""owner"": ""oscardef"", ""repo_name"": ""showcAIse"", ""repo"": ""showcAIse"", ""name_with_owner"": ""oscardef/showcAIse"", ""url"": ""https://github.com/oscardef/showcAIse"", ""description"": ""Project created at LauzHack 2025. A presentation assistant tool."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2025-11-22T12:08:47Z"", ""updated_at"": ""2025-11-23T14:32:14Z"", ""pushed_at"": ""2025-11-23T14:32:11Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 81918}, {""language"": ""Python"", ""size"": 63208}, {""language"": ""CSS"", ""size"": 49120}, {""language"": ""Shell"", ""size"": 3114}, {""language"": ""HTML"", ""size"": 456}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 17, ""first_commit_date_default_branch"": ""2025-11-22T12:54:03Z"", ""last_commit_date_default_branch"": ""2025-11-23T14:32:09Z"", ""last_commit_oid_default_branch"": ""edfaae813c69caad21fd5f33ec4fe1f0db93c66c"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""oscardef"", ""contributions"": 16, ""html_url"": ""https://github.com/oscardef""}, {""login"": ""kkorboe-epfl"", ""contributions"": 1, ""html_url"": ""https://github.com/kkorboe-epfl""}], ""readme_title"": ""showcAIse 🎤"", ""readme_text"": ""# showcAIse 🎤\n\nAI-powered presentation analysis tool that provides instant feedback on your speaking performance. Upload a video and get detailed insights on delivery, pacing, confidence, and areas to improve.\n\n## ✨ Features\n\n- **Smart Analysis**: Detects strong moments and areas for improvement\n- **Confidence Scoring**: Advanced algorithm analyzing pace, fillers, sentiment, and language quality\n- **Segment-Specific Feedback**: Play and review individual moments with categorized insights\n- **🎤 Voice Cloning**: Generate improved presentations using your own voice (NEW!)\n- **Clean Professional UI**: Focused interface with dedicated Voice Clone tab\n- **Video Playback**: Segment-only player that isolates specific moments for focused review\n- **Actionable Recommendations**: Specific, prioritized suggestions for improvement\n\n## 🚀 Quick Start\n\n### Prerequisites\n- Docker Desktop ([Download](https://www.docker.com/products/docker-desktop))\n- Together AI API key ([Get one here](https://together.ai))\n- **Note**: Voice cloning requires ~2GB model download on first use (cached for future runs)\n\n### Setup & Run\n\n```bash\n# 1. Clone and navigate\ngit clone https://github.com/oscardef/showcAIse.git\ncd showcAIse\n\n# 2. Configure API key\ncd backend\ncp .env.example .env\n# Edit .env and add: TOGETHER_API_KEY=\""your-key-here\""\n\n# 3. Start with Docker\ncd ..\ndocker compose up --build\n```\n\n**That's it!** Visit http://localhost:3000\n\n### Docker Commands\n\n```bash\n# Start containers\ndocker compose up -d\n\n# View logs\ndocker compose logs -f\n\n# Stop containers\ndocker compose down\n\n# Rebuild after code changes\ndocker compose up --build\n\n# Pre-download TTS model (optional, for faster first voice clone)\ndocker compose exec backend python preload_tts.py\n```\n\n## 💻 Manual Setup (Without Docker)\n\n### Prerequisites\n- **Python 3.11.6** (Required for TTS library - 3.12+ not supported)\n- Node.js 18+\n- FFmpeg ([Install guide](https://ffmpeg.org/download.html))\n- ~2GB free space for TTS model\n\n### Backend Setup\n\n```bash\ncd backend\n\n# Use Python 3.11 (required for TTS)\npython3.11 -m venv venv\nsource venv/bin/activate # On Windows: venv\\Scripts\\activate\n\npip install -r requirements.txt\n\n# Configure API key\ncp .env.example .env\n# Edit .env: TOGETHER_API_KEY=\""your-key-here\""\n\n# Optional: Pre-download TTS model to avoid runtime delay\npython preload_tts.py\n\n# Run\npython main.py\n```\n\nBackend runs at http://localhost:8000\n\n### Frontend Setup\n\n```bash\ncd frontend\nnpm install\nnpm start\n```\n\nFrontend runs at http://localhost:3000\n\n## 📊 How It Works\n\n### Analysis Pipeline\n\n1. **Video Upload** → Extracts audio with FFmpeg\n2. **Transcription** → Together AI Whisper large-v3 model\n3. **Smart Segmentation** → Breaks transcript into natural speaking chunks\n4. **Confidence Scoring** → Analyzes each segment:\n - **Pacing** (±25 points): Optimal 130-160 WPM\n - **Filler Words** (±30 points): Strict thresholds (4%, 8%, 15%)\n - **Sentiment** (±20 points): Positive/negative/neutral tone\n - **Language Quality** (±15 points): Hedge words (\""I guess\"", \""kind of\"")\n5. **Moment Detection** → Identifies strong (≥70%) and weak (<50%) moments\n6. **Categorization** → Tags moments by type:\n - Strong: \""Confident language\"", \""Clean delivery\"", \""Perfect pacing\""\n - Weak: \""Excessive fillers\"", \""Uncertain tone\"", \""Poor pacing\""\n7. **Recommendations** → Generates specific, actionable improvement suggestions\n\n### Scoring System\n\n**Base Score**: 50 points (neutral starting point)\n\n**Adjustments:**\n- Good pacing (130-160 WPM): +25\n- Too fast/slow: -20\n- Minimal fillers (<4%): +30\n- Excessive fillers (>15%): -35\n- Positive sentiment: +20\n- Negative/uncertain tone: -25\n- Hedge words (>2): -15\n\n**Result**: 0-100 confidence score\n- **70-100**: Strong moment\n- **50-69**: Adequate\n- **0-49**: Needs improvement\n\n## 🎯 What You Get\n\n### Results Dashboard\n\n**1. Overview Tab**\n- Key metrics (words, WPM, fillers, duration)\n- Overall confidence score\n- Voice cloning quick-start button\n- Top 3 priority actions\n\n**2. Key Moments Tab**\n- Overview stats (performance score, strong/weak counts, duration)\n- **Strong Moments**: What made them effective with categories\n- **Weak Moments**: Specific issues + improvement suggestions\n- Segment-only video player (plays just that moment)\n\n**3. Sentiment Analysis Tab**\n- Overall sentiment and tone analysis\n- Sentiment trends (improving/declining/stable)\n- Actionable insights with severity levels\n- Negative moments to review\n- Best positive peaks\n\n**4. Delivery Metrics Tab**\n- Confidence calculation breakdown\n- Performance timeline chart\n- Weakest and strongest moments\n- Detailed speech analysis\n- Top filler words breakdown\n\n**5. Recommendations Tab**\n- Priority actions (top 3 critical improvements)\n- Additional suggestions with specific steps\n- Severity-based categorization\n\n**6. Voice Clone Tab** 🎤 (NEW!)\n- Generate improved presentation with your voice\n- Remove all filler words automatically\n- Replace uncertain language with confident phrasing\n- Maintain natural voice and speaking style\n- Download audio ready for video creation\n- View improved script with change summary\n- See metrics comparison (before/after)\n\n**7. Transcript Tab**\n- Full text with filler word highlighting\n- Easy reference for detailed review\n\n## 🎤 Voice Cloning Feature\n\n### How It Works\n\n1. **Upload & Analyze**: First, analyze your presentation video\n2. **Generate Clone**: Click \""Generate Improved Voice Clone\"" button\n3. **AI Processing** (~1-2 minutes):\n - Extracts audio from your video\n - Analyzes transcript and generates improved script\n - Removes filler words (\""um\"", \""uh\"", \""like\"", etc.)\n - Replaces uncertain language (\""I guess\"" → \""I believe\"")\n - Clones your voice using Coqui TTS XTTS v2 model\n - Generates clean audio output\n4. **Download**: Get WAV file ready for video creation\n\n### What Gets Improved\n\n**Removed:**\n- All filler words (um, uh, like, you know, so, actually, basically, literally)\n- Uncertain phrases (I think maybe, I guess, I don't know, kind of, sort of)\n\n**Replaced:**\n- \""I think maybe\"" → \""I believe\""\n- \""I guess\"" → \""I believe\""\n- \""probably\"" → \""will\""\n- \""might be\"" → \""is\""\n- \""could be\"" → \""is\""\n- \""maybe\"" → \""will\""\n\n**Maintained:**\n- Your natural voice characteristics\n- Speaking rhythm and cadence\n- Emotional tone\n- Core message and content\n\n### Technical Details\n\n**Model**: Coqui TTS XTTS v2\n- Multilingual voice cloning\n- High-quality synthesis\n- ~2GB model size\n- CPU-optimized (no GPU required)\n\n**Performance**:\n- First run: 2-3 minutes (includes model download)\n- Subsequent runs: 1-2 minutes (model cached)\n- Output: WAV format, ready for video\n\n**Caching**:\n- Docker: Persistent volumes (`tts_cache`)\n- Manual: `~/.local/share/tts/`\n- Model downloaded once, reused forever\n\n### Requirements\n\n- Python 3.11.6 (TTS doesn't support 3.12+)\n- ~2GB disk space for model\n- 2-4GB RAM during generation\n- Audio track in video (mono/stereo OK)\n\n### Troubleshooting Voice Cloning\n\n**\""Voice cloning failed\""**\n```bash\n# Check if video has audio\ndocker compose exec backend python -c \""from moviepy.editor import VideoFileClip; v = VideoFileClip('videos/YOUR_SESSION_ID.mp4'); print(v.audio)\""\n\n# Check TTS cache\ndocker compose exec backend ls -lh /root/.local/share/tts/\n\n# Re-download model if corrupted\ndocker compose exec backend rm -rf /root/.local/share/tts/\ndocker compose exec backend python preload_tts.py\n```\n\n**\""Model download too slow\""**\n```bash\n# Pre-download before first use\ndocker compose exec backend python preload_tts.py\n\n# Or during build (edit Dockerfile.backend, uncomment line):\n# RUN python preload_tts.py\n```\n\n**\""Out of memory\""**\n- Close other applications\n- Increase Docker memory limit (Docker Desktop → Settings → Resources)\n- Try shorter videos (<5 minutes)\n\n## 🏗️ Tech Stack\n\n**Backend**\n- FastAPI 0.121.3 (Python 3.11.6 for TTS compatibility)\n- Together AI Whisper API (transcription)\n- Coqui TTS XTTS v2 (voice cloning)\n- Transformers 4.33.0 (DistilBERT sentiment)\n- MoviePy 1.0.3 (audio extraction)\n- FFmpeg (media processing)\n\n**Frontend**\n- React 18.2\n- Clean, professional UI (no rounded corners, minimal nesting)\n- Segment-isolated video player\n\n**Deployment**\n- Docker & Docker Compose\n- Multi-container architecture\n- Hot reload for development\n\n## 📁 Project Structure\n\n```\nshowcAIse/\n├── backend/\n│ ├── main.py # FastAPI server\n│ ├── analyzer.py # Core analysis engine\n│ └── requirements.txt\n├── frontend/\n│ ├── src/\n│ │ ├── App.js # Main app component\n│ │ ├── Upload.js # Video upload interface\n│ │ ├── ResultsClean.js # Results dashboard\n│ │ ├── MomentsAnalysis.js # Moments display\n│ │ └── clean.css # Professional styling\n│ └── package.json\n├── docker-compose.yml # Container orchestration\n├── Dockerfile.backend\n└── Dockerfile.frontend\n```\n\n## 🔧 API Reference\n\n### POST /api/upload\nUpload video for analysis\n\n**Request**: `multipart/form-data` with video file\n\n**Response**:\n```json\n{\n \""session_id\"": \""abc-123\"",\n \""transcript\"": \""Full transcription...\"",\n \""word_count\"": 150,\n \""wpm\"": 145,\n \""duration\"": 62.4,\n \""overall_confidence\"": 72,\n \""key_clips\"": {\n \""strong_moments\"": [\n {\n \""segment_num\"": 3,\n \""confidence\"": 85,\n \""start_time\"": 15,\n \""end_time\"": 32,\n \""text\"": \""Segment text...\"",\n \""categories\"": [\""Confident language\"", \""Perfect pacing\""],\n \""metrics\"": {\""wpm\"": 145, \""fillers\"": 0, \""sentiment\"": 0.85}\n }\n ],\n \""weak_moments\"": [\n {\n \""segment_num\"": 7,\n \""confidence\"": 42,\n \""issues\"": [\""Excessive filler words\"", \""Uncertain tone\""],\n \""suggestions\"": [\""Reduce fillers by pausing...\"", \""Use more confident language...\""],\n \""metrics\"": {\""wpm\"": 98, \""fillers\"": 8, \""sentiment\"": -0.45}\n }\n ]\n },\n \""recommendations\"": [...],\n \""timeline\"": [...]\n}\n```\n\n### POST /api/voice-clone/{session_id}\nGenerate improved presentation with voice cloning\n\n**Request**: POST to `/api/voice-clone/{session_id}` (no body required)\n\n**Response**:\n```json\n{\n \""status\"": \""success\"",\n \""audio_url\"": \""/api/cloned-audio/{session_id}\"",\n \""improved_script\"": \""Cleaned and improved transcript...\"",\n \""improvements\"": {\n \""improvements\"": [\n \""Removed 15 filler words\"",\n \""Reduced script by 23 words (8.2%)\"",\n \""Replaced uncertain language with confident phrasing\"",\n \""Optimized sentence structure for clarity\""\n ],\n \""original_word_count\"": 280,\n \""improved_word_count\"": 257,\n \""original_wpm\"": 167,\n \""target_wpm\"": 145,\n \""estimated_duration_seconds\"": 106.3\n }\n}\n```\n\n### GET /api/cloned-audio/{session_id}\nDownload cloned audio file\n\n**Response**: WAV audio file (audio/wav)\n\n## 🐛 Troubleshooting\n\n### Docker Issues\n\n```bash\n# Port conflicts (3000 or 8000 in use)\ndocker compose down\nlsof -ti:3000 -ti:8000 | xargs kill -9\ndocker compose up -d\n\n# Rebuild from scratch\ndocker compose down\ndocker compose up --build\n\n# Clean everything\ndocker system prune -a\n```\n\n### API Key Issues\n\n1. Verify key is correct (no extra spaces/newlines)\n2. Check `.env` file is in `backend/` directory\n3. Restart containers after changing `.env`:\n ```bash\n docker compose down\n docker compose up -d\n ```\n\n### FFmpeg Missing (Manual Setup)\n\n```bash\n# macOS\nbrew install ffmpeg\n\n# Ubuntu/Debian\nsudo apt-get install ffmpeg\n\n# Windows\n# Download from https://ffmpeg.org/download.html\n```\n\n### Module Errors\n\n```bash\n# Backend\ncd backend\npip install -r requirements.txt\n\n# Frontend\ncd frontend\nrm -rf node_modules\nnpm install\n```\n\n## 🎓 Algorithm Details\n\n### Timestamp Accuracy\n\nUses time-based calculation (0.4 seconds per word) instead of ratio-based positioning. Adds 1-second buffer for accuracy.\n\n```python\nstart_second = int((cumulative_words * 0.4)) - 1\nend_second = int((cumulative_words * 0.4)) + 1\n```\n\n### Segment-Only Video Player\n\n- Automatically starts at segment start time\n- Pauses at segment end time\n- Prevents seeking outside segment boundaries\n- Visual indicator shows segment timing\n- Loops back to start when finished\n\n### Hedge Word Detection\n\nIdentifies uncertain language:\n- \""kind of\"", \""sort of\""\n- \""I guess\"", \""I don't know\""\n- \""maybe\"", \""probably\""\n- Penalty: -15 points if >2 occurrences\n\n### Filler Detection\n\nTracks common fillers:\n- \""um\"", \""uh\"", \""like\"", \""you know\""\n- \""so\"", \""actually\"", \""basically\"", \""literally\""\n\nThresholds:\n- <4%: No penalty (natural)\n- 4-8%: -10 points (mild)\n- 8-15%: -25 points (moderate)\n- >15%: -35 points (severe)\n\n## 📝 Development Notes\n\n### Recent Improvements (v2.1)\n\n**Algorithm Accuracy**\n- Changed confidence base from 70→50 (more realistic)\n- Added sentiment integration (±20 points)\n- Stricter filler thresholds\n- Hedge word detection\n\n**UI Redesign**\n- Reduced from 6 tabs → 3 tabs\n- Removed all rounded corners (flat professional design)\n- Eliminated card nesting\n- Prominent upload header\n- Segment-focused video player\n\n**Timestamp Fix**\n- Switched to time-based calculation\n- Added accuracy buffers\n- Segment-only playback with boundaries\n\n### Known Limitations\n\n1. Sentiment analysis per segment (may be slow for long videos)\n2. Hedge word detection is regex-based (context-independent)\n3. Timestamps accurate within ±1 second\n\n### Future Enhancements\n\n- Caching for sentiment analysis\n- Context-aware hedge word detection\n- User feedback loop for threshold tuning\n- Body language analysis (computer vision)\n- Comparative analytics (track improvement over time)\n\n---\n\n**Built with ❤️ for better presentations**\n\nVisit http://localhost:3000 to get started!"", ""readme_length"": 13449, ""files_root_entries"": [{""path"": "".dockerignore"", ""type"": ""file"", ""size"": 1723}, {""path"": "".gitignore"", ""type"": ""file"", ""size"": 410}, {""path"": ""Dockerfile.backend"", ""type"": ""file"", ""size"": 2473}, {""path"": ""Dockerfile.frontend"", ""type"": ""file"", ""size"": 253}, {""path"": ""IMPLEMENTATION_SUMMARY.md"", ""type"": ""file"", ""size"": 8849}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 13664}, {""path"": ""TECHNICAL_SUMMARY.md"", ""type"": ""file"", ""size"": 4018}, {""path"": ""VOICE_CLONING_GUIDE.md"", ""type"": ""file"", ""size"": 6167}, {""path"": ""backend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""docker-compose.yml"", ""type"": ""file"", ""size"": 945}, {""path"": ""frontend"", ""type"": ""dir"", ""size"": 0}, {""path"": ""test_voice_cloning.sh"", ""type"": ""file"", ""size"": 3114}], ""files_total_count"": 33, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": true, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2025,https://2025.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 22-23,2025-11-22,2025-11-23,"{'github': 'https://github.com/LauzHack', 'linkedin': 'https://linkedin.com/in/yelizaveta-kulynych', 'instagram': 'https://instagram.com/lauzhack'}",2026-03-09T10:19:06.555301 +4,Birdy,"Birdy uses your webcam to monitor posture and detect hand gestures in real time. It runs in the background, alerts you when you slouch, and lets you control actions using simple gestures. Designed to improve comfort, reduce strain, and enhance productivity while you work.",https://github.com/FacerOfGod/birdy,"[""Sylvain Pichot""]","[""Organizers' prize""]","[""Organizers' prize""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:4,4,Birdy,"[""https://github.com/FacerOfGod/birdy""]",1,"[{""input_url"": ""https://github.com/FacerOfGod/birdy"", ""owner"": ""FacerOfGod"", ""repo_name"": ""birdy"", ""repo"": ""birdy"", ""name_with_owner"": ""FacerOfGod/birdy"", ""url"": ""https://github.com/FacerOfGod/birdy"", ""description"": ""Birdy uses your webcam to monitor posture and detect hand gestures in real time. It runs in the background, alerts you when you slouch, and lets you control actions using simple gestures. Designed to improve comfort, reduce strain, and enhance productivity while you work."", ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2025-11-22T22:38:16Z"", ""updated_at"": ""2026-01-11T16:51:29Z"", ""pushed_at"": ""2025-12-07T17:40:23Z"", ""stars"": 4, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""JavaScript"", ""languages_top"": [{""language"": ""JavaScript"", ""size"": 94154}, {""language"": ""HTML"", ""size"": 25597}, {""language"": ""CSS"", ""size"": 22828}, {""language"": ""Python"", ""size"": 6893}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 12, ""first_commit_date_default_branch"": ""2025-11-22T22:49:18Z"", ""last_commit_date_default_branch"": ""2025-12-07T17:40:14Z"", ""last_commit_oid_default_branch"": ""fb5fe5edbc80aec1d5f99c5a227a67faadcdf33f"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 1, ""contributors_top"": [{""login"": ""FacerOfGod"", ""contributions"": 12, ""html_url"": ""https://github.com/FacerOfGod""}], ""readme_title"": ""# Birdy - AI Posture & Gesture Control"", ""readme_text"": ""# Birdy - AI Posture & Gesture Control\n\nBirdy is an intelligent desktop assistant that uses your webcam to monitor your posture and control your computer with hand gestures. Built with Electron, MediaPipe, and Python\n\n## How a project born out of giving up ended up winning a prize\n\nThis project was built for [Lauzhack EPFL 2025](https://lauzhack.com/). A huge room full of people who look like they’ve been preparing for this moment for weeks. Teams of four forming battle plans, whiteboards covered with diagrams, AI agents everywhere.\n\nMe?\n_A few hours in, and I was already lost._\n\nMy team and I originally planned to attack the SBB challenge… until we realized none of us were actually excited about it. Then came hours of brainstorming, trying to chase an idea that felt meaningful, original, or at least buildable. Nothing clicked. Every new idea died within minutes.\n\nSo eventually, we did the unthinkable:\n_We gave up._\n\nBut here’s the thing, once we freed ourselves from the pressure to “produce something impressive,” Lauzhack suddenly became fun again. I decided to stay anyway, just to enjoy the atmosphere. Hackathons have this special kind of energy that keeps you coding even when you have no idea why.\n\nSo I started hopping around GitHub, poking into random repositories like someone browsing channels with no plan at 3 a.m. And then I stumbled on a project showing how AI/ML could detect body posture and head position. That caught my eye.\n\n_“Why not? Let’s try it,” I thought._\n\nOne experiment became two. Then ten. Suddenly I was building things with no intention of submitting anything. Just pure curiosity.\n\nAnd then it hit me.\n_“This… actually has potential.”_\n\nThe submission deadline was midnight. At 23:55, I was still debating with myself. Should I submit? Should I pretend this isn’t happening?\n\nA teammate who was also deep in his own fun side-project just looked at me and said:\n_“Dude, just sign up. You can always dip later if you don’t want to present.”_\n\nSo at 23:59, literally one minute before the deadline, I hit submit.\n\nAnd that was it. Suddenly I was motivated again. Not because I had planned it, not because I felt ready, but because Birdy had become something that mattered, not only to me, but potentially to anyone who sits in front of a computer all day.\n\n## Example \n\n\""image\""\n\n## Features\n\n### 🧘 Posture Monitoring\n* **Real-time Analysis**: Detects slouching, leaning, and distance from the screen.\n* **Smart Alerts**: Visual notifications when you need to sit up straight or take a break.\n* **Standing Detection**: Automatically detects when you stand up.\n\n### ⏱️ Smart Timer\n* **Sitting Timer**: Tracks how long you've been sitting.\n* **Auto-Pause/Resume**: The timer automatically stops when you stand up or leave the desk, and resumes when you sit back down.\n* **Break Reminders**: Reminds you to stretch after prolonged sitting.\n\n### 🖐️ Gesture Control\nControl your computer without a mouse using intuitive hand gestures.\n\n| Action | Gesture | Description |\n| :--- | :--- | :--- |\n| **Toggle Cursor** | **Fist → Peace** | Make a fist, then a peace sign to activate/deactivate the virtual cursor. |\n| **Move Cursor** | **Peace Sign** | Move your hand while holding a peace sign to move the cursor. |\n| **Click** | **Pinch** | Pinch your thumb and index finger quickly to click. |\n| **Drag** | **Pinch (Hold)** | Pinch and hold to drag items. Release to drop. |\n| **Switch Desktop** | **Swipe** | Swipe left or right with an open hand (when cursor is inactive). |\n| **Task View** | **Fist → Open Hand** | Hold a fist, then open your hand to toggle Task View. |\n| **Volume Control** | **Index Finger** | Place your index finger near your ear and move up/down to adjust volume. |\n\n### 🖥️ Compact Mode\n* Switch to a minimalist \""Compact Mode\"" to keep Birdy unobtrusive while you work.\n* Always-on-top floating window with essential controls.\n\n## Prerequisites\n\n1. **Node.js**: [Download & Install](https://nodejs.org/)\n2. **Python 3.x**: [Download & Install](https://www.python.org/)\n\n## Installation\n\n1. **Clone the repository**:\n ```bash\n git clone https://github.com/yourusername/birdy.git\n cd birdy\n ```\n\n2. **Install Node.js dependencies**:\n ```bash\n npm install\n ```\n\n3. **Install Python dependencies**:\n ```bash\n pip install websockets pyautogui pycaw comtypes\n ```\n\n## Usage\n\nBirdy requires both the Python server (for system control) and the Electron app to be running.\n\n1. **Start the Python Server**:\n Open a terminal in the project directory and run:\n ```bash\n python server.py\n ```\n *Keep this terminal open.*\n\n2. **Start the Application**:\n Open a new terminal in the project directory and run:\n ```bash\n npm start\n ```\n\n3. **Calibration**:\n * Sit in your normal working posture.\n * Click the **\""Calibrate\""** button.\n * Birdy will now monitor your posture relative to this baseline.\n\n## Troubleshooting\n\n* **\""Server not connected\""**: Ensure `server.py` is running in a separate terminal.\n* **Gestures not working**: Make sure your hand is clearly visible to the camera. Good lighting helps!\n* **Cursor drifting**: Recalibrate by toggling the cursor off and on (Fist -> Peace)."", ""readme_length"": 5365, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 54}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 5546}, {""path"": ""assets"", ""type"": ""dir"", ""size"": 0}, {""path"": ""css"", ""type"": ""dir"", ""size"": 0}, {""path"": ""index.html"", ""type"": ""file"", ""size"": 16229}, {""path"": ""js"", ""type"": ""dir"", ""size"": 0}, {""path"": ""main.js"", ""type"": ""file"", ""size"": 22702}, {""path"": ""package-lock.json"", ""type"": ""file"", ""size"": 29399}, {""path"": ""package.json"", ""type"": ""file"", ""size"": 1363}, {""path"": ""server.py"", ""type"": ""file"", ""size"": 6233}, {""path"": ""server.spec"", ""type"": ""file"", ""size"": 660}, {""path"": ""splash.html"", ""type"": ""file"", ""size"": 9368}], ""files_total_count"": 33, ""dirs_total_count"": 5, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2025,https://2025.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 22-23,2025-11-22,2025-11-23,"{'github': 'https://github.com/LauzHack', 'linkedin': 'https://linkedin.com/in/yelizaveta-kulynych', 'instagram': 'https://instagram.com/lauzhack'}",2026-03-09T10:19:06.555301 +5,PawPilot,Mobile app which provides real-time obstacle detection and environmental awareness to enhance independence for visually impaired individuals.,https://github.com/MarognaLorenzo/lauzhack,"[""Lorenzo Marogna"", ""Marcelina Gancewska"", ""Wissam Pheng""]","[""Huawei Challenge 1st Place""]","[""Huawei Challenge 1st Place""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:5,5,PawPilot,"[""https://github.com/MarognaLorenzo/lauzhack""]",1,"[{""input_url"": ""https://github.com/MarognaLorenzo/lauzhack"", ""owner"": ""MarognaLorenzo"", ""repo_name"": ""lauzhack"", ""repo"": ""lauzhack"", ""name_with_owner"": ""MarognaLorenzo/lauzhack"", ""url"": ""https://github.com/MarognaLorenzo/lauzhack"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": false, ""parent_repo"": null, ""parent_url"": null, ""default_branch"": ""main"", ""created_at"": ""2025-11-22T14:07:20Z"", ""updated_at"": ""2025-11-25T08:39:36Z"", ""pushed_at"": ""2025-11-25T08:39:33Z"", ""stars"": 0, ""forks"": 1, ""watchers"": 0, ""primary_language"": ""Kotlin"", ""languages_top"": [{""language"": ""Kotlin"", ""size"": 37293}], ""license_spdx"": null, ""license_name"": null, ""commit_count_default_branch"": 19, ""first_commit_date_default_branch"": ""2025-11-22T14:13:35Z"", ""last_commit_date_default_branch"": ""2025-11-25T08:39:09Z"", ""last_commit_oid_default_branch"": ""ad5386da24a5921cb4c42d8565b23a4dd429ecc1"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 2, ""contributors_top"": [{""login"": ""MarognaLorenzo"", ""contributions"": 15, ""html_url"": ""https://github.com/MarognaLorenzo""}, {""login"": ""marelaG"", ""contributions"": 4, ""html_url"": null}], ""readme_title"": ""PawPilot - Your AI Assistant"", ""readme_text"": ""# PawPilot - Your AI Assistant\n\nWelcome to PawPilot, an intelligent Android application developed for LauzHack. Pilot is designed to be your personal AI companion, using computer vision and text to speech to understand your environment and help you navigate it.\n\n## Key Features\n\n- **Visual Analysis:** Pilot can periodically capture images from your device's camera to analyze and understand your surroundings.\n- **Intuitive & Responsive UI:** The app features a clean, minimalistic interface with a central pulsating button that visually communicates its current state: inactive (gray), capturing images (blue).\n- **Haptic Feedback:** Enjoy subtle vibrations that provide tactile confirmation of your actions, making the experience more intuitive.\n\n## How to Use\n\n1. **Start/Stop Visual Analysis:** Tap the central button to begin or end the visual analysis. When active, the button will turn blue and pulsate.\n3. **View Transcription:** The recorded audio will be automatically transcribed, and the resulting text will be read to the user outloud.\n\n## Setup for Developers\n\n1. **Clone the Repository:**\n ```bash\n git clone \n ```\n2. **Open in Android Studio:** Open the cloned project in Android Studio.\n3. **Add Your API Key:** To enable audio transcription, you'll need to add your Together AI API key. Open the `MainActivity.kt` file and replace the placeholder with your actual key:\n ```kotlin\n // In app/src/main/java/com/example/lauzhack/MainActivity.kt\n \n // ... inside the handleLongPressEnd function\n val text = TogetherTranscription.transcribeAudio(\n filePath = outputFile,\n apiKey = \""YOUR_API_KEY_HERE\"" // <-- Add your key here\n )\n ```\n4. **Build and Run:** Build and run the app on an Android device or emulator.\n\n---\n\n*This project was proudly created during the LauzHack event, showcasing the power of combining modern Android development with cutting-edge AI.*"", ""readme_length"": 1943, ""files_root_entries"": [{""path"": "".gitignore"", ""type"": ""file"", ""size"": 225}, {""path"": "".idea"", ""type"": ""dir"", ""size"": 0}, {""path"": ""README.md"", ""type"": ""file"", ""size"": 1943}, {""path"": ""app"", ""type"": ""dir"", ""size"": 0}, {""path"": ""build.gradle.kts"", ""type"": ""file"", ""size"": 269}, {""path"": ""gradle.properties"", ""type"": ""file"", ""size"": 1346}, {""path"": ""gradle"", ""type"": ""dir"", ""size"": 0}, {""path"": ""gradlew"", ""type"": ""file"", ""size"": 5766}, {""path"": ""gradlew.bat"", ""type"": ""file"", ""size"": 2674}, {""path"": ""settings.gradle.kts"", ""type"": ""file"", ""size"": 533}], ""files_total_count"": 71, ""dirs_total_count"": 36, ""has_tests"": false, ""has_docs"": false, ""has_ci"": false, ""has_docker"": false, ""has_notebooks"": false, ""has_contributing"": false, ""has_license_file"": false, ""has_readme_file"": true}]",2025,https://2025.lauzhack.com,"Student-run hackathon at EPFL, Switzerland",November 22-23,2025-11-22,2025-11-23,"{'github': 'https://github.com/LauzHack', 'linkedin': 'https://linkedin.com/in/yelizaveta-kulynych', 'instagram': 'https://instagram.com/lauzhack'}",2026-03-09T10:19:06.555301 +6,LLM Inference Optimizer,Improving inference of LLM by doing better KV caching,https://github.com/reinattwijaya/Sparse-Attention-Zoo,"[""Reinatt Hansel Wijaya"", ""Sathvik Bhagavan""]","[""Huawei Challenge 3rd Place""]","[""Huawei Challenge 3rd Place""]",LauzHack 2025,2025,"EPFL, Lausanne, Switzerland",id:6,6,LLM Inference Optimizer,"[""https://github.com/reinattwijaya/Sparse-Attention-Zoo""]",1,"[{""input_url"": ""https://github.com/reinattwijaya/Sparse-Attention-Zoo"", ""owner"": ""reinattwijaya"", ""repo_name"": ""Sparse-Attention-Zoo"", ""repo"": ""Sparse-Attention-Zoo"", ""name_with_owner"": ""reinattwijaya/Sparse-Attention-Zoo"", ""url"": ""https://github.com/reinattwijaya/Sparse-Attention-Zoo"", ""description"": null, ""homepage_url"": null, ""topics"": [], ""is_private"": false, ""is_archived"": false, ""is_fork"": true, ""parent_repo"": ""andresnowak/Sparse-Attention-Zoo"", ""parent_url"": ""https://github.com/andresnowak/Sparse-Attention-Zoo"", ""default_branch"": ""main"", ""created_at"": ""2025-11-22T16:10:51Z"", ""updated_at"": ""2025-11-23T09:19:44Z"", ""pushed_at"": ""2025-11-23T09:19:40Z"", ""stars"": 0, ""forks"": 0, ""watchers"": 0, ""primary_language"": ""Python"", ""languages_top"": [{""language"": ""Python"", ""size"": 107165}, {""language"": ""Shell"", ""size"": 10721}], ""license_spdx"": ""MIT"", ""license_name"": ""MIT License"", ""commit_count_default_branch"": 56, ""first_commit_date_default_branch"": ""2025-10-09T18:38:07Z"", ""last_commit_date_default_branch"": ""2025-11-23T09:19:09Z"", ""last_commit_oid_default_branch"": ""3e2329cbbcf1384f939bacb4eaf7c76917a72ac5"", ""pull_requests_total"": 0, ""pull_requests_open"": 0, ""pull_requests_closed"": 0, ""pull_requests_merged"": 0, ""issues_total"": 0, ""issues_open"": 0, ""issues_closed"": 0, ""releases_count"": 0, ""latest_release_tag"": null, ""latest_release_date"": null, ""contributors_count"": 4, ""contributors_top"": [{""login"": ""andresnowak"", ""contributions"": 50, ""html_url"": ""https://github.com/andresnowak""}, {""login"": ""sayantan0013"", ""contributions"": 3, ""html_url"": null}, {""login"": ""sathvikb"", ""contributions"": 2, ""html_url"": null}, {""login"": ""reinattwijaya"", ""contributions"": 1, ""html_url"": null}], ""readme_title"": ""Sparse Attention Zoo"", ""readme_text"": ""# Sparse Attention Zoo\n\n## Currently Implemented\n\n### DeepSeek-V3.2 Dynamic Sparse Attention (DSA)\n\nImplementation of the Dynamic Sparse Attention mechanism from [DeepSeek-V3.2](https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf).\n\n**Key Features:**\n- **Lightning Indexer**: Lightweight attention indexer that selects relevant tokens\n- **Two-Stage Training**:\n - **Dense Warm-up Stage**: Train only the indexer with frozen main model using dense attention\n - **Sparse Training Stage**: Train both indexer and main model with sparse attention pattern\n- **Efficient Token Selection**: Uses top-k selection from indexer scores\n- **KL Divergence Alignment**: Aligns indexer distribution with main attention distribution\n\n**Architecture:**\n- Separate indexer network per attention layer\n- Partial RoPE application for position encoding\n- Detached indexer input from main computational graph\n- Multi-head indexer with configurable heads and dimensions\n\n## Installation\n\n```bash\nuv sync\n```\n\nand NGC 25.06 pytorch container\n\n## Usage\n\n### Key Arguments\n\n**Model Configuration:**\n- `--model_name`: Base LLaMA model to use\n- `--index_top_k`: Number of tokens to select per query (default: 2048)\n- `--index_num_heads`: Number of indexer heads (default: 16)\n- `--rope_head_dim`: Dimension for RoPE in indexer (default: 32)\n- `--index_head_dim`: Head dimension for indexer (default: 64)\n\n**Training Configuration:**\n- `--warmup_stage`: Enable dense warm-up stage (freeze main model)\n- `--batch_size`: Training batch size\n- `--learning_rate`: Learning rate\n- `--num_epochs`: Number of training epochs\n- `--gradient_accumulation_steps`: Gradient accumulation steps\n\n**Data Configuration:**\n- `--dataset_name`: HuggingFace dataset name\n- `--dataset_config`: Dataset configuration\n- `--max_train_samples`: Maximum number of training samples\n- `--dataset_offset`: Offset for dataset samples\n\n**Logging:**\n- `--wandb_project`: W&B project name\n- `--wandb_run_name`: W&B run name\n- `--log_every`: Logging frequency (steps)\n\n## Architecture Details\n\n### Indexer Network\n- Query projection: `hidden_size, num_heads * head_dim`\n- Key projection: `hidden_size, head_dim`\n- Weight projection: `hidden_size, num_heads`\n- Partial RoPE on first `rope_head_dim` dimensions\n- LayerNorm on keys\n\n### Loss Functions\n- **Warm-up Stage**: KL divergence between indexer and aggregated attention scores\n- **Sparse Stage**:\n - Main model: Cross-entropy language modeling loss\n - Indexer: KL divergence on selected top-k tokens only\n\n## References\n\n- [DeepSeek-V3.2 Paper](https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf)\n- DeepSeek-V3.2: \""We first use a short warm-up stage to initialize the lightning indexer. 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\n\n![Gesture Control System](logo/logo.jpg)\n\n# Gesture Control System\n\n**Real-time hand gesture recognition for controlling Blender's 3D viewport**\n\n[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)\n[![MediaPipe](https://img.shields.io/badge/MediaPipe-0.10+-green.svg)](https://google.github.io/mediapipe/)\n[![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Linux%20%7C%20Windows-lightgrey.svg)](https://github.com)\n\n
\n\n---\n\n## Overview\n\nA production-ready gesture recognition system that enables intuitive control of Blender's 3D viewport through hand gestures. Built with MediaPipe for robust hand tracking and featuring platform-specific optimizations for macOS, Linux, and Windows.\n\n### Core Features\n\n- 🎯 **4 Core Gestures** - Pinch, V-gesture, Open Palm, Closed Fist\n- 🔄 **Viewport Control** - Rotate and pan Blender's 3D viewport naturally\n- 🎬 **Animation Control** - Play/stop timeline with hand gestures\n- 🖥️ **Cross-Platform** - Optimized for macOS (main-thread), Linux/Windows (threaded)\n- ⚡ **Low Latency** - Real-time processing with smoothing filters\n- 🎛️ **Configurable** - YAML-based configuration for sensitivity and mappings\n\n---\n\n## Quick Start\n\n### Prerequisites\n\n```bash\n# Python 3.8 or higher\npython --version\n\n# Install dependencies\npip install -r requirements.txt\n```\n\n### Running the System\n\n**1. Start the gesture engine:**\n\n```bash\npython main_orchestrator.py --config config/blender_mode.yaml --debug\n```\n\n**2. In Blender:**\n- Install the addon from `blender_addon/gesture_control_addon.py`\n- Enable \""Gesture Control Center\"" in Preferences → Add-ons\n- Open the sidebar (N key) → Gesture tab\n- Click **\""Connect Only\""** to link with the running engine\n\n**3. Control Blender with gestures!**\n\n---\n\n## Gestures\n\nThe system recognizes 4 core hand gestures for Blender control:\n\n| Gesture | Description | Action |\n|---------|-------------|--------|\n| 🤏 **Pinch** | Thumb + index finger touching | **Rotate viewport** - Move hand while pinching to orbit camera |\n| ✌️ **V-Gesture** | Index + middle fingers extended | **Pan viewport** - Move hand to pan camera position |\n| 🖐️ **Open Palm** | All fingers extended | **Play animation** - Start timeline playback |\n| ✊ **Closed Fist** | All fingers closed | **Stop animation** - Pause timeline |\n\n### Gesture Details\n\n**Pinch (Rotation Mode)**\n- Pinch thumb and index finger together\n- Move your hand to rotate the viewport\n- Automatic orbit around scene center\n- Release to exit rotation mode\n\n**V-Gesture (Navigation Mode)**\n- Extend index and middle fingers (peace sign)\n- Keep ring and pinky fingers closed\n- Move your hand to pan the viewport\n- Release to exit navigation mode\n\n**Animation Control**\n- Open palm to start playback\n- Closed fist to stop\n- Works independently of viewport modes\n\n---\n\n## Architecture\n\n```\n┌─────────────┐\n│ Camera │\n└──────┬──────┘\n │\n ▼\n┌─────────────────┐\n│ MediaPipe │\n│ Hand Tracking │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Gesture │\n│ Detector │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Filters & │\n│ Validators │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Event Bus │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Gesture │\n│ Handlers │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Blender Output │\n│ (Socket) │\n└──────┬──────────┘\n │\n ▼\n┌─────────────────┐\n│ Blender Addon │\n│ (Viewport) │\n└─────────────────┘\n```\n\n### Key Components\n\n**Gesture Detection** (`gestures/`)\n- MediaPipe-based hand landmark tracking\n- Confidence validation and quality checks\n- Smoothing filters for stable detection\n\n**Event System** (`core/`)\n- Central EventBus for message routing\n- Type-safe event handling\n- Modular handler registration\n\n**Handlers** (`handlers/`)\n- `blender_viewport_handler.py` - Viewport rotation and panning\n- `blender_animation_handler.py` - Timeline control\n- Configurable sensitivity and behavior\n\n**Blender Integration** (`blender_addon/`)\n- Socket-based communication (port 8888)\n- Real-time viewport manipulation\n- Simplified rotation and pan functions\n\n---\n\n## Configuration\n\nEdit `config/blender_mode.yaml` to customize behavior:\n\n```yaml\n# Gesture detection settings\ninputs:\n gesture:\n enabled: true\n camera_index: 0\n show_preview: true\n min_confidence: 0.6\n filter_window: 3\n\n# Blender output\noutputs:\n blender:\n enabled: true\n host: localhost\n port: 8888\n```\n\n### Sensitivity Tuning\n\nIn the Blender addon panel, adjust:\n- **Rotation Sensitivity** - Controls viewport rotation speed (default: 0.5)\n- **Pan Sensitivity** - Controls viewport panning speed (default: 0.1)\n\n---\n\n## Project Structure\n\n```\nlauzhack2025/\n├── config/ # YAML configuration files\n├── core/ # Event system and orchestration\n│ ├── event_system.py # EventBus implementation\n│ ├── gesture_handler.py # Handler base classes\n│ └── launcher.py # Application launcher\n├── gestures/ # Gesture recognition\n│ ├── detector.py # Main detection engine\n│ ├── filters.py # Smoothing filters\n│ ├── validators.py # Quality validation\n│ └── library/\n│ └── navigation.py # Core gesture definitions\n├── handlers/ # Gesture handlers\n│ ├── blender_viewport_handler.py\n│ └── blender_animation_handler.py\n├── inputs/ # Input modules\n│ └── gesture_input_production.py\n├── outputs/ # Output modules\n│ └── blender_output.py # Blender socket communication\n├── blender_addon/ # Blender addon\n│ └── gesture_control_addon.py\n├── main_orchestrator.py # Main entry point\n└── requirements.txt # Python dependencies\n```\n\n---\n\n## Platform Support\n\n### macOS\n- **Main-thread camera mode** - Required for camera permissions\n- Camera window displays in foreground\n- Launched via Terminal.app for proper access\n\n### Linux / Windows\n- **Threaded camera mode** - Background processing\n- Standard OpenCV camera access\n- Preview window optional\n\nThe system automatically detects your platform and uses the appropriate mode.\n\n---\n\n## Troubleshooting\n\n**Camera doesn't open?**\n- Check camera permissions in System Preferences (macOS)\n- Try a different camera: `--camera-index 1`\n- Ensure no other app is using the camera\n\n**Gestures not detected?**\n- Improve lighting conditions\n- Position hand clearly in frame\n- Adjust `min_confidence` in config (lower = more sensitive)\n- Check debug output with `--debug` flag\n\n**Blender not responding?**\n- Verify addon is installed and enabled\n- Check port 8888 is available: `lsof -i :8888`\n- Ensure \""Connect Only\"" button was clicked in Blender\n- Check Blender's system console for errors\n\n**Viewport movement too fast/slow?**\n- Adjust sensitivity in Blender addon panel\n- Modify `sensitivity` in handler config\n- Fine-tune in real-time without restarting\n\n---\n\n## Development\n\n### Testing\n\n```bash\n# Run all tests\npython -m pytest tests/ -v\n\n# Test specific components\npython -m pytest tests/test_gestures.py\npython -m pytest tests/test_handler_system.py\n```\n\n### Adding Custom Gestures\n\n1. Define gesture in `gestures/library/navigation.py`:\n```python\n@register(\""navigation\"")\nclass MyGesture(Gesture):\n @property\n def name(self) -> str:\n return \""MY_GESTURE\""\n \n def detect(self, landmarks, context):\n # Detection logic\n return GestureResult(name=self.name, confidence=0.9)\n```\n\n2. Add handler in `handlers/`\n3. Configure mapping in YAML\n\n---\n\n## Technical Details\n\n**Gesture Detection Pipeline:**\n1. MediaPipe extracts hand landmarks (21 points per hand)\n2. Landmarks filtered through smoothing window (reduces jitter)\n3. Quality validator checks landmark visibility and confidence\n4. Gesture detector matches against registered patterns\n5. Confidence validator ensures stable detection\n6. Event published to EventBus\n7. Handlers process and route to outputs\n\n**Movement Tracking:**\n- Pinch: Tracks midpoint of thumb/index, calculates deltas\n- V-Gesture: Tracks midpoint of index/middle, applies smoothing\n- Sensitivity multipliers: Rotation (20x), Navigation (150x)\n- Deadzone filtering to ignore micro-movements\n\n---\n\n## Requirements\n\n```\nmediapipe>=0.10.0\nopencv-python>=4.8.0\nPyYAML>=6.0\nnumpy>=1.24.0\n```\n\n---\n\n## License\n\nMIT License - See LICENSE file for details.\n\n---\n\n
\n\n**Built for LauzHack 2025**\n\nMade with ❤️ by the gesture control team\n\n
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