
I have seen many founders and developers struggle with ML experiments. Most AutoML tools are heavy, slow, or need strong GPUs. So I built AutoML Lite, a simple engine that trains multiple models, compares them, and gives you the best one.
No complex setup.
No heavy hardware.
Just drop in your CSV and run.
It supports RandomForest, XGBoost, SVM, Logistic Regression, KNN, and Decision Tree. It also handles preprocessing and gives a clean performance report.
I built this for students, indie makers, and early stage founders who want fast ML experiments without learning every ML detail.
Repo: https://github.com/Sherin-SEF-AI/AutoML-Lite
Would love feedback from the IH community. What features should I add next?