metadata
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
- Clone this repository
- Install dependencies:
pip install -r requirements.txt - 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