Overview

An end-to-end solution for industrial equipment maintenance prediction that helps prevent equipment failures and optimize maintenance schedules. Built using the NASA turbofan engine dataset, the system retrains on launch, making it easily adaptable to any machinery with similar sensor data. The implementation demonstrates industry-standard CI/CD practices and automated model retraining pipelines.