Movie Recommendation System using Content-Based Filtering with Bag of Words NLP Technique
This repository contains a movie recommendation system that uses content-based filtering and bag of words natural language processing (NLP) technique to suggest similar movies based on their content. The system utilizes cosine similarity to measure the similarity between movies and provides movie recommendations accordingly. The movie data is fetched from the TMDB database, and image URLs for movie posters are also fetched using the TMDB API.