Our project embraced the broad spectrum of predictive maintenance for industrial equipment. This included both continuous and periodic monitoring, leveraging our state-of-the-art sensors and IoT devices. These tools, combined with our advanced data analytics and machine learning capabilities, were pivotal in identifying potential equipment failures.