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This research presents the design and simulation of a Smart Healthcare Monitoring System that integrates Internet of Things (IoT) and Machine Learning (ML) technologies to enhance patient safety and real-time health tracking. Utilizing ESP32, MPU6050, PIR sensors, and GPS-GSM modules, the system monitors critical parameters such as motion, falls, and location. Anomaly detection is implemented using Isolation Forest, enabling early identification of irregular health patterns. Data is simulated us
- Author
- bghcghhkm
- Language
- EN