AI-Based Health Monitoring System
This project involves designing a wearable health monitoring system that continuously tracks heart rate, body temperature, blood oxygen levels (SpO2), and other vital signs using sensors like MAX30100, DS18B20, and DHT11. The collected data is processed using machine learning algorithms to identify patterns and detect early symptoms of health conditions, such as irregular heartbeats or fever spikes. The system can send alerts via SMS or an app to caregivers and doctors when abnormal readings are detected. Additionally, by integrating this system with cloud platforms like Firebase or ThingSpeak, the patient s historical health data can be stored and analyzed over time to provide predictive health insights. This project is highly beneficial for elderly individuals, patients with chronic diseases, or people in remote areas where access to hospitals is limited.
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