I have developed a content-based movie recommendation system for this end-to-end project that offers 5 best picks depending on the film you've seen. It has a dataset of more than 4000 movies for recommendations. The unique movie poster is also loaded using the TMDB api. The finished product that was put into use also offers a section for well-known films and allows you to sort films by genre.
Technologies used in the project:
- Python
- Streamlit
- Scikit Learn
- pandas
- requests
- Jupyter Notebook
Clone the project
git clone https://link-to-project
Go to the project directory
cd my-project
Install dependencies
pip install -r requirements. txt
Start the server
streamlit run app.py
If you have any feedback please reachout to me @ vivekgoel0207@gmail.com