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.
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.
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.
A collection of Movie Recommender System models developed using PyTorch
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.
🎬 A content-based movie recommendation system using NLP (CountVectorizer + Cosine Similarity) on TMDB 5000 dataset. Built with Python, scikit-learn, and Streamlit.
Reel Rec - A Movie Recommendation AI designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.
Movie Recommendation System
A Telegram-based movie recommendation chatbot powered by natural language processing (NLP) techniques.
A movie recommendation system built using KNN model from scikit-learn library. GUI components are powered by pyQt5, a library to create GUI applications in Python
Content-Based set of recommender systems for the MovieLens dataset.
Movie Recommendation System with Flask based web application with social connection setup
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!
In this project we make a movie recommender using matrix factorization in python
Análisis visual y estadístico de un ranking de películas utilizando pandas y matplotlib en Python.
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