Netflix Recommendation System

A content-based recommendation system built with Flask that suggests Netflix movies and shows based on user input. This project leverages machine learning techniques to analyze movie metadata and provide personalized recommendations.

Features

• Content-based filtering using movie metadata such as title, cast, director, genres, and description.
• Uses cosine similarity to find and recommend similar movies.
• Simple and user-friendly web interface built with Flask.
• Easily extensible to include more features or datasets.

Technologies Used

• Python 3.x
• Flask
• Pandas
• NumPy
• scikit-learn
• HTML/CSS (for frontend templates)

Installation

1. Clone the repository:git clone https://github.com/BrijeshRakhasiya/Netflix-Recommendation-System.git