Build a predictive maintenance system that predicts equipment failures using machine learning. The system will be built using Spring Boot and will use historical data to make predictions.
What you'll build
The Predictive Maintenance system is designed to predict equipment failures using historical data and machine learning algorithms. The system will be built using Spring Boot, a popular Java framework for building web applications. The project will involve creating a Spring Boot project, integrating it with a machine learning library, implementing predictive maintenance logic, and creating a dashboard to display the predictions. This project has the potential to be a valuable addition to a portfolio and can be further enhanced to turn into a business by adding features such as real-time data ingestion, alerting, and notification systems. Future enhancements could include integrating with IoT devices, using more advanced machine learning techniques, and developing a more sophisticated user interface.
What you'll learn
Roadmap
6 steps · tasks unfold as you work
