👉 The target project is an AI-driven predictive maintenance system designed to optimize industrial equipment performance and minimize downtime. By leveraging machine learning algorithms, the system analyzes real-time sensor data from machinery to predict potential failures before they occur. This proactive approach enables maintenance teams to schedule repairs during planned downtimes, reducing unexpected breakdowns and extending the lifespan of equipment. The project aims to enhance operational efficiency, lower maintenance costs, and improve overall safety in industrial settings through advanced data analytics and predictive modeling.
