The Predictive Maintenance API is an advanced AI-powered solution for monitoring, analyzing, and predicting failures in industrial equipment. By integrating IoT sensors and ERP systems, this API processes real-time data to detect anomalies and predict failures before they happen, reducing maintenance costs and downtime.

This project applies predictive maintenance on NASA Turbojet Engine Dataset, aiming to forecast maintenance needs by analyzing historical data, thereby minimizing downtime.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI for Predictive Maintenance in Manufacturing predicts equipment failures using sensor and historical data, enabling timely maintenance, reducing downtime, and improving overall operational efficiency.