Many developers want to try machine learning but feel stuck because most AutoML tools are heavy and slow. AutoML Lite solves this by giving you a clean, fast, and easy way to train and compare models on a normal laptop.
AutoML Lite trains multiple models, handles preprocessing, and shows performance metrics like accuracy, recall, and F1 score. Supported models include RandomForest, XGBoost, SVM, Logistic Regression, KNN, and Decision Tree. It is built for students, founders, and developers who want quick experiments without complex setup.
Repo link:
https://github.com/Sherin-SEF-AI/AutoML-Lite
Why This Project Matters
Works on low end laptops
Reduces confusion around model selection
Helps you learn how different ML models behave
Easy to extend with new algorithms
Great for prototyping and quick testing
Author
Sherin Joseph Roy
Co-Founder and builder at DeepMost AI
Works on AI tools, safety tech, developer tools, and open source projects. Passionate about building lightweight and practical ML systems for real world use.
GitHub: https://github.com/Sherin-SEF-AI
Website: https://sherinjosephroy.link
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