RedziSens

---

About Project

Stress is a prevalent health issue affecting productivity and well-being. While many wearables track heart rate, few offer real-time, medical-grade stress classification. This project implements a Multimodal Stress Monitoring System that:

• Analyzes physiological data (HRV, EDA, BVP, Temp) using Deep Learning.
• Performs Inference directly on the wearable device (Edge AI).
• Streams data to the cloud for remote monitoring.

The system was developed through rigorous phases: from EDA and baseline LSTM models to a refined Hybrid CNN + GRU architecture optimized for mobile deployment.

---