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.
python iot arduino machine-learning mongodb random-forest ecg healthcare diabetes exponential-smoothing isolation-forest max30102 sensor-integration rapberry-pi gy-906 remote-patient-monitoring open-source-healtcare cardiovascular-health
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Updated
Jan 26, 2026 - Python