I would like to use ML to help high school students focus on the factors that really affect the college admission process and help them to get admitted.

It is a crop recommendation and fertilizer recommendation system, which is developed using machine learning algorithm (Random forest classifier)

This is a diabetes prediction system using Random Forest classifier and Flask framework.

Empower medical professionals and ML students with our innovative medical prediction and visualization platform, revolutionizing disease prediction for improved patient outcomes.

Developed a machine learning-powered web app to predict vehicle resale prices based on make, year, kilometers driven, fuel type, etc. The backend is powered by Flask, with MongoDB Atlas for user authentication and a secure login system.

Iris flower classification + web interface to test

study of hyperparameter tuning methods