Movie Recommendation System

This project is a simple Movie Recommendation System that suggests movies based on user preferences and movie similarities.

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Features

• Recommends movies based on user input or watched history
• Uses movie metadata like genres, ratings, and descriptions
• Simple user interface (can be console-based or web-based)
• Basic similarity calculations (content-based filtering or collaborative filtering)

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How It Works

The system analyzes movie features such as genre and user ratings to find similar movies and recommend them to users. It can be extended to use machine learning models or collaborative filtering techniques.

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How to Run

1. Clone the repo:

   git clone https://github.com/yourusername/movie-recommendation-system.git