Privacy and Security of IOT Devices for Monitoring Vulnerable People

This project presents a real-time IoT-based health monitoring system developed using the ESP32 Uno microcontroller. The system integrates multiple sensors—including a DHT11 sensor (for temperature and humidity), a pulse sensor (for heart rate), and an MQ-3 alcohol sensor—to monitor essential health parameters. Sensor data is displayed locally on an LCD screen and transmitted remotely via a GSM module. To provide seamless data visualization and access, the system uses cloud platforms such as ThingSpeak and Blynk for real-time monitoring through mobile and web interfaces. A Java-based website has also been developed to allow users to securely view their health data, with a user-friendly dashboard for live updates. Additionally, all health reports are stored in the AWS cloud, enabling long-term data storage, report generation, and remote access for healthcare providers. This system offers a scalable and accessible solution for continuous health monitoring, suitable for both personal and clinical use. By combining IoT, cloud services, and Java web development, it ensures real-time feedback, remote monitoring, and early detection of health anomalies. This ESP32-powered system is a low-cost, scalable, and efficient solution for personal and clinical health monitoring, ensuring early detection of anomalies and continuous patient care.