International Journal of Scientific Research and Engineering Development

The AI-Driven Smart Wellness System For Continuous Health Surveillance is an IoT-based solution that tracks vital signs such as heart rate, SpO₂, ECG, temperature, and stress using sensors connected to Raspberry Pi . It integrates AI and machine learning models to analyze data, detect anomalies, and predict health risks like arrhythmia or fever. The processed data is stored in the cloud and displayed through a mobile or web dashboard, providing real-time alerts to doctors and caregivers. The proposed system offers a low-cost, efficient, and continuous health monitoring solution for patients, supporting preventive healthcare and early diagnosis.

Dr.M J Anand, Yashaswini B R, Sohana M V, Punyashree B, Sindhushree G B,"AI-Driven Smart Wellness System For Continuous Health Surveillance" International Journal of Scientific Research and Engineering Development, V9(3): Page(732-736) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.