Anomaly Detection for Smart Home Appliances

An anomaly detection system that spots unusual behaviour in smart home appliances.

An anomaly detection system that spots unusual behaviour in smart home appliances. It is offered as a reference project: a complete, worked example of how a system like this is designed, built and evaluated, so that a developer can study it, run it and learn from it.

It suits learners who want to connect hardware to software: reading sensors, sending data to a back end, visualising it and acting on it with alerts or control.

The main parts are sensor or device data collection, a messaging layer between devices and the server, a live dashboard, and alerts or control actions. The reference build uses ESP32, MQTT, Python, and Node-RED, with a clear project structure, setup instructions and sample data so that it can be run and extended.