Predictive Maintenance (IoT & AI)

• Tech Stack: Python, Scikit-learn, TensorFlow, IoT Sensors, Jupyter Notebook
• Dataset: NASA C-MAPSS Dataset
• Github URL: Project Link

This project focuses on Prognostics and Health Management (PHM) for predicting the state of industrial assets to prevent downtime and failures. The dataset comes from NASA’s C-MAPSS simulation of turbofan engine degradation under various operational conditions and fault modes.

The goal is to build an intelligent predictive maintenance system using Machine Learning and IoT data streams to anticipate failures before they occur, enhancing reliability and efficiency in industrial operations.