AI-Enhanced Child Safety Wearable and Smart Home System

The AI-Enhanced Child Safety Wearable and Smart Home System integrates wearable health monitoring with local environmental tracking through an interconnected network of microcontrollers. At the heart of the wearable component, the MAX30102 sensor uses optical photoplethysmography to continuously capture pulse and blood-oxygen saturation data, while the MPU6050 accelerometer and gyroscope monitor physical orientation to detect sudden changes indicative of falls. User interaction on the device is facilitated by the TTP223 touch sensor, and localized status is rendered on a 0.96-inch OLED display. Powering the portable unit is a rechargeable setup managed by a TP4056 charging circuit paired with a 5V boost converter to supply stable operating voltage. Meanwhile, the home environment is secured using an ESP32 Cam module paired with a PIR sensor to detect motion and stream visual feeds. Data from both the wearable and stationary environmental sensors are published via MQTT protocols over Wi-Fi to a local server running inside Docker, where an MQTT broker processes the telemetry. Working parents or guardians can view real-time metrics and alerts through a web-based frontend dashboard, allowing simultaneous tracking of vital signs and home safety conditions.