Predictive Maintenance System

Completed August 2022
Technologies

Project Overview

Designed and implemented a predictive maintenance system for industrial equipment that uses IoT sensor data and machine learning algorithms to predict potential failures before they occur, enabling proactive maintenance and reducing downtime.

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