🧠 Named Entity Recognition (NER) with BERT

This is a web-based Named Entity Recognition (NER) tool powered by a fine-tuned BERT model, built using PyTorch, Hugging Face Transformers, and Streamlit.

🚀 Demo

Try the live app :
👉 Coming soon...

📌 Features

🔎 Extracts and highlights entities in raw text (PER, LOC, ORG, etc.)
💬 Clean and interactive Streamlit UI
🧠 Fine-tuned on the CoNLL-2003 dataset
☁️ Deployable via Streamlit Cloud or Hugging Face Spaces

📁 Project Structure

ner-bert-app/
│
├── app.py               # Streamlit frontend
├── ner_model/           # Saved model & tokenizer
├── requirements.txt     # Dependencies
└── README.md

🧠 Model

Fine-tuned bert-base-cased on the CoNLL-2003 dataset using Hugging Face Transformers and Datasets.

📦 Dependencies

streamlit
transformers
torch

Install all with:

pip install -r requirements.txt

📸 Example

🧑‍💻 Author

Made with ❤️ by Prasanna

📜 License

MIT License

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