This project aims to develop an advanced Machine Learning (ML) model designed to predict tire faults before they manifest into serious issues. By leveraging extensive datasets that simulate tire performance under varying conditions, this model will enable predictive maintenance, allowing for the early identification of wear and tear, pressure imbalances, and other faults that may compromise tire integrity