Welcome to Flick Picks - Your Personalized Movie Recommendation App!
Discover movies tailored to your taste with Flick Picks. Built using Python and Streamlit, this content-based recommendation system processes a vast collection of movies from the TMDb dataset to bring you personalized movie suggestions.
Website : https://flickpicks.streamlit.app/
- Personalized Recommendations: Get movie suggestions based on your favorite movies and genres.
- User-Friendly Interface: Enjoy an intuitive and seamless browsing experience.
- Algorithm: Utilizes the K-Nearest Neighbors (KNN) algorithm and CountVectorizer(NLTK) to provide accurate recommendations by analyzing movie metadata.
- Extensive Movie Database: Access a wide range of movies, ensuring you'll always find something interesting.
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Python
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Streamlit
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Pandas
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NumPy
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Scikit-learn
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TMDb API for providing the movie dataset.
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Streamlit for making it easy to create web applications in Python.
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App hosted by Streamlit Community Cloud.
Feel free to fork the code and customize it to match your preferences! You can modify the recommendation algorithm, enhance the UI, or expand the movie database.