Update README.md

README.md

@@ -1,34 +1,27 @@
 ---
+title: Lead.AI Explainable Fraud Detection
+emoji: 🛡️
+colorFrom: indigo
+colorTo: blue
+sdk: gradio
+sdk_version: "5.0.0"
+app_file: app.py
+pinned: false
 license: mit
-pipeline_tag: tabular-classification
-tags:
-- fraud-detection
-- lead-ai
-- financial-ai
-- trustworthy-ai
 ---
 
-# Lead.AI Fraud Detection Model
+# 🛡️ Lead.AI Labs — Explainable Fraud Detection
 
-This model predicts fraudulent financial transactions using machine learning.
+Interactive AI demo for fraud risk analysis using transparent scoring and explainable AI principles.
 
-## Model Details
-- Model: Random Forest
-- Task: Binary Classification (Fraud / Non-Fraud)
+## Features
 
-## Inputs
-- Time
-- V1–V28
-- Amount
-
-## Output
-- Fraud Risk Score (0–1)
-- Prediction (0 or 1)
-
-## Use Cases
-- Credit card fraud detection
-- Financial risk scoring
-- AI-powered automation (Lead.AI)
+- Fraud / safe transaction prediction
+- Risk score estimation
+- Explainability summary
+- Business-ready demo for financial AI
 
 ## Author
-Arun Kumar Gharami
+
+Arun Kumar Gharami  
+Lead.AI Labs