syedikram00/predictive-maintenance ? reverse-engineered prompt

Build me a predictive maintenance app that takes industrial machine telemetry and predicts whether a machine is likely to fail.

I want the project to include a simple data generation or exploration step, training a few classification models on the machine data, and saving the best model so it can be reused later. Then expose the prediction through a FastAPI service with a health endpoint and a predict endpoint that accepts JSON input and returns a clear failure prediction.

Please make it easy to run locally, package it with Docker, and include whatever is needed to test the app inside the container. If it makes sense, set up the project so it can also be deployed to Kubernetes with a service, multiple replicas, and health checks.

Use the files in the repo as the starting point, and if you need current docs for anything, look them up online.