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cloudburst-prediction

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mageshit24 / A-Decentralized-IoT-and-Machine-Learning-Framework-for-Hyperlocal-Cloudburst-Prediction

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A decentralized IoT + Machine Learning system for hyperlocal cloudburst/landslide risk prediction. ESP32 sensor nodes (soil moisture, rainfall, DHT11) transmit over LoRa and WiFi-UDP to a Flask server running a RandomForest classifier, with real-time MySQL logging, a live web dashboard, and Blynk/GSM/buzzer field alerts.

mysql flask iot machine-learning random-forest esp32 scikit-learn embedded-systems lora blynk final-year-project disaster-management edge-computing landslide-detection cloudburst-prediction
  • Updated Jun 20, 2026
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