Movie Recommender System

This project is a movie recommender system that suggests movies to users based on the movie they like. It is a content based recommendation model. Content-based recommendation uses movie metadata such as genres, keywords, cast, and crew to find movies that are similar to a given movie. The Website is made using Streamlit package of python

Demo

Installation

Install the necessary libraries specified in requirements.txt using pip

  pip install -r requirements.txt

Dataset used for creating the recommendation model: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv

Demo