1. Reads short code snippets (human- or AI-written).
2. Extracts structure-level features from them (using Python’s Abstract Syntax Tree = AST).
3. Turns those features into vectors suitable for machine learning.
4. Trains a simple classifier (Logistic Regression) to tell AI vs human apart.
5. Prints evaluation metrics (like precision, recall, F1).