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Unlike basic predictive maintenance models, this project integrates multisensor fusion, hybrid deep learning (AE + LSTM), a failure fusion classifier, and a real-time dashboard. It simulates an Industry 4.0 machine health pipeline with anomaly scoring, RUL prediction, and health indexing.