👉 The proceeding project involves developing an advanced AI-driven predictive maintenance system for industrial machinery. This system leverages machine learning algorithms to analyze real-time sensor data from equipment, predicting potential failures before they occur. By integrating IoT sensors and cloud computing, the project aims to reduce downtime, optimize maintenance schedules, and enhance operational efficiency. The team will also focus on creating a user-friendly interface for maintenance teams to monitor predictions and perform timely interventions, ultimately lowering costs and improving safety in industrial environments.
