1. Introduction Predictive Maintenance (PdM) powered by AI is revolutionizing how industries monitor and maintain their equipment. By using machine learning (ML), IoT sensors, big data analytics, and real-time monitoring , AI can predict equipment failures before they happen, reducing downtime, maintenance costs, and operational inefficiencies . This project focuses on designing and implementing an AI-driven predictive maintenance system that continuously monitors equipment health, detects anomalies, and predicts failures, allowing management to take preventive actions before breakdowns occur. 2. Importance of AI in Predictive Maintenance Traditional vs. AI-Powered Maintenance Approaches Maintenance Approach Description Limitations Reactive Maintenance Fixing equipment after failure. High downtime, unexpected failures, costly repairs. Preventive Maintenance Sched...