Movie Recommender System

Overview

This project aims to build a movie recommender system using Natural Language Processing (NLP) and machine learning techniques. The system recommends movies based on the similarity of movie tags, which include genres, keywords, cast, and crew.

Features

• Data preprocessing to create tags from genres, keywords, cast, and crew.
• Use of NLP techniques like stemming.
• Cosine similarity for finding similar movies.
• Recommendation function to suggest movies based on a given movie.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/movie-recommender-system.git
   cd movie-recommender-system

2. Install Dependencies:

   pip install numpy pandas scikit-learn nltk

3. Download NLTK data:

   import nltk
   nltk.download('punkt')