---
title: Health Monitoring System
emoji: 🏥
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
---

# Health Monitoring System

A comprehensive health monitoring system that provides:
- Heart rate analysis
- ECG anomaly detection
- Audio analysis
- Real-time emergency handling
- User authentication and management

## Features
- Real-time health monitoring
- Machine learning-based anomaly detection
- Interactive visualizations
- Emergency response system
- User-friendly interface

## Technical Details
- Built with Flask and SocketIO
- Uses TensorFlow and PyTorch for ML models
- Firebase integration for real-time data
- WebSocket support for live updates

## Setup Instructions
1. Clone this repository
2. Install dependencies: `pip install -r requirements.txt`
3. Run the application: `python app.py`

## API Endpoints
- `/`: Main dashboard
- `/predict`: Health prediction endpoint
- `/emergency`: Emergency response endpoint

## Model Information
- Heart Rate Model: Trained on MIT-BIH Arrhythmia Database
- ECG Anomaly Detection: Autoencoder-based model
- Audio Analysis: Custom CNN architecture

## License
MIT License