Movie Recommendation System

This is a Streamlit-based web application that provides movie recommendations based on a selected movie. The app uses a machine learning model to find similar movies and displays the recommendations along with their posters.

Features

• Select a movie from a dropdown list.
• Get a list of recommended movies based on similarity.
• Display movie posters for the recommended movies.

Installation

1. Clone the repository:

   git clone https://github.com/KaranCS21/movie-recommendation-system.git
   

2. Navigate to the project directory:

   cd movie-recommendation-system
   
   

3. Install the dependencies:

   pip install -r requirements.txt
   
   

Files

• app.py: The main Streamlit application file.
• movie.pkl: Pickle file containing movie data.
• similarity.pkl: Pickle file containing similarity data.
• requirements.txt: File listing the dependencies.

Contributing

• If you want to contribute to this project, feel free to fork the repository and submit a pull request.

License

• This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or suggestions, feel free to contact me at karanparajapati54@gmail.com.