👉 The project involves developing an AI-powered predictive maintenance system for industrial machinery, specifically utilizing machine learning algorithms to analyze sensor data and predict equipment failures before they occur. This system will integrate with existing IoT platforms to collect real-time data, employ anomaly detection models to identify patterns indicative of potential issues, and generate actionable insights for maintenance teams. By reducing unplanned downtime and optimizing maintenance schedules, the system aims to enhance operational efficiency, lower repair costs, and extend the lifespan of machinery.
