A Fully Offline BLE-Connected Multi-Task TinyML Weather Station with Android Monitoring

The study’s main contribution is the integration of calibrated ultrasonic rainfall sensing, a three-output multi-task TinyML model on ESP32-S3, BLE communication, and an Android monitoring application into one fully offline weather station. This enables local next-day rainfall, humidity, and rainfall-risk prediction without relying on Wi-Fi, Internet, or cloud services.