Reel Rec - A Movie Recommendation AI designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.
-
Updated
Oct 18, 2025
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.
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.
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.
AI-powered movie discovery platform with personalized recommendations based on your taste and mood.
A collection of Movie Recommender System models developed using PyTorch
This is Recommendation System for Movies , which Recommend movies on basis of content similarity.
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.
Backend para el proyecto Fliverse. TFG de DAM, año 2024-2025
Content-Based set of recommender systems for the MovieLens dataset.
Movie Recommendation System
This script lets you find "movie recommendations" based on a simple sentence or description you provide. Using "sentence embeddings" and "similarity scores", it suggests films that match your taste — all without needing complex menus. Quick, smart, and to the point!
A Telegram-based movie recommendation chatbot powered by natural language processing (NLP) techniques.
Add a description, image, and links to the movie-recommedation topic page so that developers can more easily learn about it.
To associate your repository with the movie-recommedation topic, visit your repo's landing page and select "manage topics."