Skip to content

About

A movie recommender website built using machine learning algorithms.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Latest commit

 

History

4 Commits

Folders and files

Repository files navigation

Movie-Recommendation-System

This is a movie recommendation system built using Machine Learning techniques and deployed with Streamlit. The system recommends movies to users based on their favourites or previous watch.

Installation

  1. Clone the repository.
  2. Create a virtual environment (optional but recommended)
  3. Install the required dependencies
  4. Download the movie dataset or connect to your database
  5. Run the Streamlit app
  6. Access the application in your web browser at http://localhost:8501.

Technologies Used : Python, Machine Learning Libraries, Streamlit.

USAGE :

Type it in your movie or select from the drop-down: Screenshot (146)

Click the button and you would have your recommendations ! Screenshot (147)

Contributions are welcome! If you find any issues or want to enhance the system, please submit a pull request. For major changes, please open an issue first to discuss the proposed changes.

About

A movie recommender website built using machine learning algorithms.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages