Disability Care Datalogger

The Disability Care Datalogger is a real-time health monitoring system that integrates machine learning with hardware-based signal processing. It is designed to analyze Photoplethysmography (PPG) signals for heart rate variability and stress detection using a range of ML models.

The system processes data from an ESP32-C6 microcontroller and transmits it to a backend hosted on AWS EC2 using FastAPI and Node. js, ensuring low-latency, real-time insights.