The project aims to predict equipment failures and maintenance needs in advance, enabling proactive maintenance scheduling and minimizing downtime. This project was developed as part of the IEEE CS SPIT AERAVAT 1.0 AI Hackathon, where it won 1st prize in the machine learning domain.
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