Smart Health Monitoring System with Real-Time Vital Tracking and Predictive Diagnostics

With the rising global prevalence of cardiovascular diseases and the growing need for accessible healthcare solutions, there is a critical demand for systems that can provide both continuous monitoring and early diagnosis. This project presents a Smart Health Monitoring System with Real-Time Vital Tracking and Predictive Diagnostics, a comprehensive and intelligent health management platform that combines Internet of Things (IoT) technology with machine learning- based predictive analytics. The system integrates a heartbeat sensor and DS18B20 temperature sensor connected to an ESP32 microcontroller, which continuously captures vital physiological parameters. This data is transmitted wirelessly to a Flask-powered web server, where it is logged, visualized in real time through an interactive dashboard, and stored for further analysis. Users can monitor trends over time, download data in CSV format, and reset logs as needed.