Wind turbines break down due to harsh weather, causing costly energy losses. We built a sensor model to track conditions like sound and temperature and trained artificial intelligence to detect warning signs of failure. Our system predicted breakdowns with high accuracy. We also added a smart assistant to provide operators with clear repair advice. This technology prevents unexpected failures, cuts costs, and makes renewable wind energy more reliable.