Movie Recommender

In this project I used the movie data and created a movie recommendation user interface.

The movie data contains more than 4800 movies and when a user passes title of any movie the website will come up with 10 related movies to recommend to the user.

Built With

• Python
• Streamlit

Live Demo

Live Demo Link for the movie recommender

Getting Started Locally

git clone https://github.com/Micky373/movie_recommender.git

cd movie_recommender

pip install -r requirements.txt

streamlit run movie_recommender.py

Then go and on any browser put this link (http://localhost:8501/)

Then put a movie in the box or select from those in the list.

Then the website will show you the top 10 recommendations.

More clear discription about how the recommendation system was built and the API fetching can be found in the notebooks folder.

Author

• GitHub: @GitHub

• LinkedIn: LinkedIn

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

• Special thanks to CampusX youtube channel