Ai-Driven Heart Rate Variability And Stress Assessment Using Iot System

Abstract

Heart disease is one of the biggest health challenges of our time, and yet most people only get their heart checked during occasional doctor visits. We built this project to change that. This work describes a wearable heart rate monitor that anyone can put together at a very low cost, using an ESP32 microcontroller and a MAX30102 optical sensor. The device sits on the wrist, reads the pulse continuously using light, and wirelessly sends that data to a small backend system running on a nearby computer. From there, the software figures out not just the heart rate, but also what zone the user is exercising in, whether their stress levels appear elevated, and whether anything looks clinically abnormal. The whole system — from the physical hardware to the Python code that processes the data — was designed to be transparent, modifiable, and genuinely useful. Testing showed solid heart rate readings across the 30 to 220 BPM range, with data reaching the backend in under 120 milliseconds.