AutoML Lite: A Lightweight AutoML Tool for Fast ML Experiments

Question

I built a simple AutoML tool that runs on a normal laptop. Most AutoML frameworks feel heavy, slow, or too complex for quick experiments. AutoML Lite trains multiple classic ML models, handles preprocessing, and gives a clean comparison of accuracy, recall, precision, and F1.

Supported models include RandomForest, XGBoost, SVM, Logistic Regression, KNN, and Decision Tree. Works smoothly even on low RAM setups. Good for students, indie developers, and early stage founders testing ideas.

Repo: https://github.com/Sherin-SEF-AI/AutoML-Lite

Would love feedback from the CoderLegion community.
What should I add next, and which workflows do you think this tool should support?