Portable Health Monitoring and Prediction System Based on Machine Learning
Arpan Biswas
Department of Electronics & Communication Engineering
Future Institute of Engineering& Management,
Kolkata, WB
Gargi Chakraborty
Department of Electronics & Communication Engineering
Future Institute of Engineering& Management,
Kolkata, WB
Abstract– It is essential to regularly examine bodily indicators to maintain good health. This study suggests a small, reasonably priced tool for regular health examinations. This tool is designed to measure blood oxygen levels and body temperature using two ESP32 microcontrollers one SpO2 sensor (MAX30102) and a temperature sensor (DS18B20). The device can do initial health check-ups on its own using a machine learning algorithm. This technique is very helpful for senior citizen living alone at home, people living in isolated areas, places where accidents happen, security guards working in difficult terrain, and anyone dealing with unexpected emergencies. IoT cloud technology was used to send health-related data to medical professionals, guaranteeing prompt and effective medical care.
Keywords – health monitoring, sensor, IoT, machine learning
DOI link – https://doi.org/10.69758/GIMRJ/25040401V13P0008
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