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MealCompass: A Food Recommendation System with Machine Learning

An Android application that is designed to help users find delicious and healthy food options nearby based on their cuisine prefrences and feedback. This application uses a hybrid of content-based filtering and collaborative filtering to provide users with personalized food recommendations.

Restaurant owners can also use this application to manage and provide updated information about their restaurant to users. Admins can reply to user feedback and approve new restaurants added to the application.

Features

  • Restaurant Recommendations: Users can view personalized restaurant recommendations and menu items based on cuisine preferences and feedback.
  • Restaurant Search: Users can search for restaurants based on their location and cuisine preferences.
  • Favorites: Users can set restaurants as favourites.
  • User Profile: Users can view and update their profile information.
  • Restaurant Details: Users can view detailed information about a restaurant including its menu, location, and reviews.
  • Restaurant Management: Restaurant owners can add and update information and menu items in their restaurant.
  • Admin Panel: Admins can approve new restaurants added to the application and reply to user feedback.

Technologies Used for Machine Learning

Technologies Used for Application Development

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