This project is desgined to help discover new movies tailored to the users preferences. Users can input movies they have watched along with rating, and specify their favorite genres, actors or directors to personalize their recommendations.
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Movie Input Preferences: Users can input movies they have watched and rate them. Moreover, they can specify favorite genre, etc.
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Recommendation Algorithm: The system employs a basic recommendation algorithm to suggest new movies based on user preferences and ratings. Recommended movies are displayed along with their details.
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Data Visualization and User Trend Analysis: Users are provided with visualizations of their movie data, including breakdonws by genre, actor or director. This allows users to analyze trends in their movie preferences and discover new content.
This project aims to enhance movie-watching experience by offering personalized recommendations and insights into the users' movie preferences.