The number of flaws in programming languages has rapidly increased as their size has grown, placing a heavy strain on human engineers in terms of the time and effort required to troubleshoot systems. By drawing attention to the parts of the program that are thought to be the main culprits behind the systematic errors, fault localization tries to minimize the troubleshooting efforts of human programmers. By reducing the cost of test generation, unit testing generation attempts to lessen the difficulties of debugging. Even so, individual programmers are still responsible for a significant portion of software debugging—up to 80% of the total cost. As a result, it is critical to further optimize the troubleshooting method. By creating patches for the observed defects, Automated Program Repair (APR) has been presented as a method to lower the cost of debugging. automatically Our modern businesses can respond preventively in the optimization, repair, and maintenance of their sophisticated manufacturing lines, reducing unscheduled downtime, particularly with the development of environmental condition monitoring. It seeks to determine how much time is left on a thing or component. Manufacturing companies have access to a IoT of information and maintenance data that might be utilized to forecast future actions and provide useful results. The goal of this research is to use technology to predict mechanical problems.