A simple content-based recommender implemented in javascript

A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.

This is a MERN stack Subscription based Online Learning Platform with content based recommendation system.

📚 Library Management System Full PROJECT (MERN Stack) ✨ with Book Recommendation System (Content-Based-Filtering) 🔥

It is a content based movie recommendations web app. Based on the user input, it recommends similar movies/webseries to the user using machine learning.

A movie recommend app using React-native and integrated AI recommender system: LFCF-DL and Content-Based Filtering.

Personalized news website with News Recommender using Filtering algorithm, CNN, and NLP

SneakFit is an AI-powered platform that helps users find their perfect sneakers using content-based recommendation algorithms. It features personalized recommendations, dynamic product listings, secure user authentication, advanced search with filtering, and a responsive design.

A MEAN stack application that provides recent news stories to users using combined recommendation technique (content based & collaborative filtering) and IBM Natural Language Understanding

This is a book analysis and recommendation system made in python and by using django framework, KNN, TF-IDF algorithm

Book Content-based recommender system

RecAnthology (Recommended Anthology) is an intelligent recommendation system designed to curate collections of books, movies, and TV shows based on user preferences. By leveraging advanced algorithms and user feedback. RecAnthology aims to provide personalized recommendations that cater to individual tastes.

💫Frontend for MOVISTIO a movie recommender system

Final year undergraduate project

This is a movie recommendation web application using machine learning. It's currently under development. I hope the live link will be added soon!