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