Movie Recommendation System

Model Description

This is a simple machine learning model implemented on Jupyter Notebook, designed to recommend movies based on their metadata. The model is standalone, requiring no additional filters or complex infrastructure, making it ideal for educational purposes or small-scale use cases.

How It Works

The model uses content-based filtering to find similarities between movies based on their genres or other metadata. It takes a movie title as input and suggests similar movies based on predefined features like genres.