"SmartAgriculture" is a comprehensive web application designed to assist in agricultural decision-making, offering tools for plant disease detection, optimal seed planting guidance, and sensor data monitoring.

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)

Iris flower classification + web interface to test

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

Plagnet is a platform for plagiarism detection using string matching algorithms and Random Forest classifier. Compared the accuracies of kmp, lcs and rabin karp string matching algorithms.

study of hyperparameter tuning methods

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.

A simple web-app using Flask to integrate Python Ai model 📧 - Explicity for Learning purpose only.📖 [Made using Ai-vibecode]

Team project: Predicting Antibiotic Resistance