A smart data validation system for industrial sensors. It uses statistical Z-Score analysis to find "dirty" data and GPT-4o-mini to write technical quality reports. Designed to ensure AI reliability in Smart Factory environments.
An end-to-end AI pipeline for smart manufacturing. It uses a PyTorch Autoencoder to detect sensor anomalies and GPT-4o-mini to generate technical maintenance reports. Features SQLite database logging for full traceability and FastAPI for industrial integration.
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