AI-Powered Smart Healthcare Monitoring System Using IoT and Machine Learning

To develop an intelligent healthcare monitoring system that uses IoT devices to track vital signs and machine learning algorithms to predict health risks, enabling timely interventions and personalized care for patients.

Conduct research on IoT-based healthcare devices and sensors.

Design system architecture connecting IoT devices to a cloud database.

Develop data acquisition modules for monitoring vitals such as heart rate, temperature, and blood pressure.

Apply machine learning models to analyze collected health data and predict anomalies.

Build a user-friendly interface to display real-time patient health status.

Implement alert notifications for abnormal readings.

Test the system in simulated healthcare scenarios and collect performance metrics.

Document the design, implementation, and evaluation of the system.