Portable IoT-Based Health Monitoring and Prediction System with Machine Learning

Regular monitoring of body parameters is crucial for maintaining good health. This paper proposes an affordable and compact device designed for routine health checkups. Utilizing two ESP32 microcontrollers and various sensors- SpO2, temperature, and ECG-it measures blood oxygen levels, body temperature, and heart rate. A machine learning algorithm enables the device to autonomously conduct preliminary health assessments. This system is particularly beneficial for individuals in remote areas, those in accident-prone locations, security personnel in challenging terrains, and anyone facing sudden emergencies. Health-related information can be transmitted to medical practitioners via IoT cloud technology, ensuring timely and appropriate medical treatment.