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An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.

Creat2024-04-13T11:06:08
Update2025-02-19T22:43:01
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