subin07-cho/menu-recommendation-ai-2025
Review-based menu recommendation system using sentiment analysis
Combines weighted scoring (70% ML prediction + 30% budget fit) with sentiment analysis of user reviews to rank restaurants by subway station, food type, and price range. Built with Gradio for browser-based interaction, the core recommendation engine (recommend_ai.py) filters candidates by location and user preferences, then surfaces the top 5 matches with comparative reviews. Currently operates on synthesized review data due to API restrictions on major mapping platforms.
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Last pushed
Dec 17, 2025
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