VitalGuardian - AI-Driven Health Monitoring System

Welcome to VitalGuardian! 🚀

In a world where healthcare access can be a challenge, especially in remote or underserved communities, VitalGuardian aims to bring health monitoring to the fingertips of those who need it most. Through an innovative integration of Bluetooth-enabled wearable sensors, AI-powered health predictions, and real-time SMS alerts, VitalGuardian is designed to empower individuals by providing proactive health insights without requiring constant supervision from medical professionals.

Features 🎉

• Real-Time Health Monitoring: Collects real-time data like heart rate, body temperature, blood oxygen levels from Bluetooth-enabled wearable sensors.
• AI-Driven Predictions: Uses a lightweight TensorFlow Lite model to predict health risks based on collected sensor data.
• Instant Alerts: Sends immediate SMS alerts via Twilio when health anomalies are detected, allowing for early intervention.
• Offline Functionality: Operates in areas with low or no internet connectivity by leveraging SMS notifications via Twilio.
• Scalability: Ideal for communities with multiple users, the system is built to scale and manage numerous devices at once.
• Secure & Configurable: Configuration files make it easy to set up Bluetooth devices and Twilio settings without touching the core code.

Project Structure 🏗️

Here’s how the project is organized:

VitalGuardian/
├── src/                               # The heart of the system
│   ├── bluetooth_connector.py         # Manages Bluetooth connection and data collection
│   ├── health_predictor.py            # TensorFlow Lite prediction logic
│   ├── alert_sender.py                # Twilio integration for sending health alerts
│   └── main.py                        # Main execution script
├── models/                            # Where we store our machine learning models
│   └── health_model.tflite            # Pre-trained TensorFlow Lite model for health prediction
├── requirements.txt                  # Python dependencies required for the project
├── config/                            # Configuration files for Bluetooth and Twilio
│   ├── twilio_config.json             # Twilio API credentials and settings
│   └── bluetooth_config.json          # Bluetooth device configuration
├── utils/                             # Helpful utility scripts
│   ├── logger.py                      # Logging utility for system health tracking
│   └── data_preprocessor.py           # Data preprocessing for AI model input
└── README.md                          # Project documentation (this file)