Predicting Jet Engine Remaining Useful Life - presentation

This video was created for Artificial Intelligence CS540 as a project proposal presentation. This presentation introduces a machine learning project proposal focused on predicting the Remaining Useful Life (RUL) of jet engines using sensor data and operating conditions. The main goal of the project is to show how predictive maintenance can help estimate how many operating cycles remain before a jet engine reaches a critical failure condition. The presentation discusses the problem statement, NASA C-MAPSS dataset, mathematical formulation, proposed machine learning models, evaluation plan, and expected practical value.