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README.md
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---
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title: Health Monitoring System
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emoji: 🏥
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colorFrom: blue
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colorTo: indigo
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sdk: docker
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pinned: false
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---
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# Health Monitoring System
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A comprehensive health monitoring system that provides:
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- Heart rate analysis
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- ECG anomaly detection
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- Audio analysis
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- Real-time emergency handling
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- User authentication and management
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## Features
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- Real-time health monitoring
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- Machine learning-based anomaly detection
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- Interactive visualizations
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- Emergency response system
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- User-friendly interface
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## Technical Details
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- Built with Flask and SocketIO
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- Uses TensorFlow and PyTorch for ML models
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- Firebase integration for real-time data
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- WebSocket support for live updates
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## Setup Instructions
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1. Clone this repository
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2. Install dependencies: `pip install -r requirements.txt`
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3. Run the application: `python app.py`
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## API Endpoints
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- `/`: Main dashboard
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- `/predict`: Health prediction endpoint
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- `/emergency`: Emergency response endpoint
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## Model Information
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- Heart Rate Model: Trained on MIT-BIH Arrhythmia Database
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- ECG Anomaly Detection: Autoencoder-based model
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- Audio Analysis: Custom CNN architecture
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## License
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MIT License
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