👉 The next project involves developing an advanced AI-powered predictive maintenance system for industrial machinery. This system will leverage machine learning algorithms to analyze real-time sensor data from equipment, identifying patterns indicative of potential failures before they occur. By predicting maintenance needs proactively, the system aims to minimize downtime, reduce repair costs, and extend the lifespan of machinery. The project will integrate IoT sensors, cloud computing for data processing, and a user-friendly dashboard for maintenance teams to monitor equipment health and schedule timely interventions.
