Develop an AI-driven maintenance assistant capable of diagnosing machine problems, predicting failures, guiding technicians, and learning from historical data. Combine ML models, NLP, sensor data analytics, and a knowledge-graph engine to build a unified intelligent maintenance platform that suggests root causes, predicts remaining component life, and recommends preventive actions.