This website utilizes machine learning models to recommend the top 5 movies based on user input. The recommendation system is implemented using Streamlit for the web interface and Jupyter Notebook for building and training the machine learning models.
- Recommends the top 5 movies similar to the user-provided movie.
- Utilizes machine learning models trained on a dataset of movie features.
- The web interface is created using Streamlit, providing an interactive user experience.
- Streamlit
- Jupyter Notebook
- Machine Learning Models
- Python
- Git
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User Input: Users select a movie from the dropdown menu on the website.
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Recommendation System:
- The selected movie is used as input to the machine learning models.
- Similarity scores are calculated to find the most similar movies.
- The top 5 recommended movies are displayed on the website.
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Web Interface:
- The website is created using Streamlit for a user-friendly experience.
- Users can easily interact with the recommendation system.