movie-recomendation-system

An advanced "content-based filtering" movie recommendation system built with Python, scikit-learn, and SQLite. It provides personalized movie suggestions based on user preferences through data analysis, and also allows users to search by a specific movie title to find similar recommendations.

Generate AI-powered movie recommendations, discover insightful profile statistics, pick movies from your watchlist, and see your film compatibility with friends

windows端，win11原生软件风格的聚合全网资源的影视搜索、观看器。本项目仅供学习和参考，请勿分发、商用

JioCinema Peak

A modern movie recommendation web app built with React, TypeScript, and Material-UI. Discover movies, search by genre, and get details instantly.

✨ This is my university unit assignment on AI Algorithms. A movies recommendation website using TF-IDF and Cosine Simillarity.

Tvflix is a simple and responsive web app built using Vanilla JS, leveraging the power of Postman and the TMDB API to seamlessly fetch and display comprehensive movie details. This project serves as a template for larger applications.

A social platform for movie enthusiasts to explore, discuss, and review films. Designed to be your one-stop destination for all movie-related needs, offering a superior user experience and unparalleled depth of content.

The 'MOVICO' project is a 'Movie Recommendation System'. It is an 'Artificial Intelligence-Machine Learning' project. Specifically, it is a 'Movie Recommendation System' that uses 'Collaborative Filtering Techniques'. The project 'Movie-Recommendation-System-MOVICO' was created as a project for the course 'Machine Intelligence', 'ue20cs302'.

A free, Netflix-style streaming web app. Browse an ever-changing catalog of movies and TV shows, manage multiple user profiles, keep a watchlist, pick up where you left off, and get notified when new releases drop.

An intelligent movie recommendation system built with machine learning that analyzes over 1 million movies to provide personalized recommendations.

A cinematic movie & TV discovery app that helps you find the right movie for tonight with mood-based matching, search, personalized recommendations, and watchlists.

🎬 It helps you discover films. Search for your favorite movies, get a "Surprise Me" pick, and explore trending movies—all while viewing live details like posters, trailers, ratings, and cast information.

输入你最喜欢的 1~2 部影视作品，通过 AI 动态问卷挖掘你的真实观影偏好，并发现更多拥有相同“影视基因”的精彩作品。

this project is a movie recommendation system that combines multiple algorithms to provide personalized movie suggestions. The system utilizes content-based filtering, collaborative filtering, neural collaborative filtering, and gradient boosting techniques to generate accurate and diverse recommendations.

Full-stack movie recommendation platform built with FastAPI, TMDB API, and AI to help users discover the perfect movie.

A modern bilingual (Arabic/English) movie and TV series discovery platform built with React, Firebase, and TMDB. Features Google authentication, personalized watchlists, real-time search, multilingual RTL/LTR support, and a fully responsive user experience.

RUMORS is a framework designed to implement RESTful APIs for a Recommender System using the MovieLens dataset. The system provides personalized movie recommendations based on user preferences and behavior.

🎬 FastAPI-based Movie & TV Show Recommender using TMDb API 🎱| Search movies, get recommendations & browse top-rated content!