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heal – AI Model by leo861 | AlphaNeural AI
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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