This project focuses on developing a predictive maintenance system for CNC machines utilizing Internet of Things (IoT) technologies and machine learning. The machines will be fitted with various sensors to gather critical performance data, including vibrations, temperature, and pressure.

‏The collected data will be analysed with advanced machine learning algorithms to identify any unusual patterns that could suggest a potential failure. This proactive approach enables early intervention, ensuring that maintenance is conducted on time and minimizing unplanned downtime, while enhancing production efficiency and lowering costs, resulting in more intelligent and reliable manufacturing processes.