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ENERGY · MACHINE LEARNING · IOT
NILM Energy Monitor
Appliance-level energy disaggregation with anomaly detection, load prediction and a connected smart-plug system.
🥉 3rd Prize · Inter IISER–NISER–CEBS Entrepreneurial SummitEnergy · ML · IoT
NILM-Based Smart Energy Monitoring System
Developed a Non-Intrusive Load Monitoring (NILM) framework for appliance-level energy disaggregation. Built ML pipeline including Random Forest anomaly detection and LSTM-based load prediction. Designed smart plug architecture integrating sensing hardware, MQTT communication, and FastAPI backend.
