The new e-Health sensor platform adds sensing capability for nine different biometric parameters, such as pulse, blood pressure, oxygen in blood (SPO2), electrocardiogram (EKG), airflow ...

This project builds a real-time stress detection system using a PPG sensor and Arduino UNO R4. Pulse data is processed in Python to extract features and predict stress with a Random Forest model.