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A comprehensive IoT-based solution to detect stray animals on roadways and alert drivers in real-time. Built with Flask backend, React frontend, and Raspberry Pi-powered hardware components including sensors and cameras. Features include real-time detection, GPS tracking, and an interactive dashboard for monitoring alerts.
Third year university IoT module for monitoring heart health in diabetic patients. The system combines hardware sensors, real-time data processing, and machine learning analytics to detect anomalies and track vital sign trends. The results are then displayed in a Streamlit web page.