Introduction 🧠

You’ve trained a model. It works great on your laptop. You ship it. Six months later, nobody’s maintained it, the predictions are garbage, and your data scientist has moved on. Sound familiar?

Every ML team at some point. Don’t be this dog. 🐶🔥

That’s exactly the problem this project tackles — head on, in three progressive phases. We’re building a customer churn prediction system for retail, starting from a messy Jupyter notebook and ending with an autonomous AI agent that monitors drift and retrains the model without you lifting a finger.