CouchQueue is an actively developed fork of the Yamtrack project, rebuilt and extended into a focused, modern platform for tracking TV Shows and Movies — designed for self-hosting and community contribution.

Reel Rec - A Movie Recommendation AI designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.

Reel Rec - A Movie Recommendation App designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.

Raso Movie Recommendation System is an AI-powered web application that suggests movies based on user preferences, genres, ratings, and similarity scores. It leverages machine learning techniques to enhance recommendations.

Filmorate: находите фильмы, ставьте лайки, делитесь с друзьями. Соцсеть и рекомендации для киноманов.

A Movie App called CinemaFlix, You can Watch trailers for Movies and Series, add a movie/series to your watchlist, delete the movie, search for any movie or series, view extra info for the movies.

Este projeto tem como objetivo avaliar a qualidade dos cinemas de Belo Horizonte, fornecendo informações e comparativos para os consumidores, ajudando-os a escolherem a melhor experiência cinematográfica e incentivando os cinemas a melhorarem seus serviços.

AI-powered movie discovery platform with personalized recommendations based on your taste and mood.

This is Recommendation System for Movies , which Recommend movies on basis of content similarity.

A collection of Movie Recommender System models developed using PyTorch

A simple movie finder web buit by using HTML5, CSS3, Javascript and ES6 Javascript.

🎬 A content-based movie recommendation system using NLP (CountVectorizer + Cosine Similarity) on TMDB 5000 dataset. Built with Python, scikit-learn, and Streamlit.

An Android application for searching and generating torrent links for your favorite movies and series.

A movie recommendation application that allows users to receive film suggestions and track their watched movies. It consists of two main components: backend and frontend. The movie recommendation system runs on a separate port from the main backend to provide better performance.

An immersive cinematic hub for discovering anime, movies, and music. Find your next favorite entertainment with AniePick, CinePick, and MeloPick.

🎬 Intelligent movie recommendation system with FastAPI backend, Streamlit frontend, and collaborative filtering ML. Rate movies, get personalized suggestions, and enjoy automatic model retraining.

Content-Based set of recommender systems for the MovieLens dataset.

Movie Recommendation System

Backend para el proyecto Fliverse. TFG de DAM, año 2024-2025

A Telegram-based movie recommendation chatbot powered by natural language processing (NLP) techniques.