Movie Recommendation System

About the Project

A refined content-based recommendation engine. It parses through a dataset containing metadata for over 5,000 movies, utilizing Natural Language Processing (NLP) to vectorize the text data and Cosine Similarity to determine mathematical proximity between titles, delivering accurate recommendations.