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.

A production-ready FastAPI & XGBoost machine learning pipeline for real-time wind turbine predictive maintenance and anomaly detection using live SCADA data.

HomeStayGrid ML Recommender Feed — a cloud-ready prototype that predicts near-term outage risk and ranks grid assets for prioritized maintenance. Includes a synthetic data generator, preprocessing and training pipelines, FastAPI inference service, unit tests, and AWS deployment guidance for demonstration and coursework.