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A complete workflow for building, training, and deploying a lightweight LSTM Autoencoder anomaly detector for temperature data on the ESP32 microcontroller—without TensorFlow or TFLite. This project uses PyTorch, ONNX, and C++ for efficient, real-time anomaly detection on edge devices.