A predictive maintenance model for estimating machine remaining useful life (RUL) with uncertainty. Instead of predicting a single value, the model outputs a range of plausible outcomes, enabling more informed maintenance decisions.

End-to-end predictive maintenance ML system with FastAPI inference, MLflow tracking, and Docker deployment