Abstract
In the field of artificial intelligence, ensuring timely maintenance of mechanical devices like bikes, cars, air conditioners, etc., is crucial. This research paper proposes the design of a user-friendly Mobile Application that seamlessly connects with Calibration devices and utilizes advanced algorithms to predict system failure dates, assess device health, and provide proactive service and failure information. The application offers proactive service recommendations and alerts by analysing data from pressure controllers and considering factors such as calibration, aging, subsystem failures, and component failures. It optimizes maintenance schedules and minimizes downtime through state-of-the-art predictive maintenance algorithms. This research aims to significantly enhance the reliability and efficiency of mechanical devices by accurately predicting issues and providing preventive measures.
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