Interactive Restaurant Discovery and Recommendation System with User-Generated Reviews and Booking Functionality

Author: Levani Tsereteli
Co-authors: Tornke Bakradze, Sandro Akhaladze, Giorgi Giorkhelidze, Galaktion Gogiashvili
Keywords: restaurant discovery, user-generated reviews, booking functionality, personalized recommendations, interactive web system
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This project presents an interactive web-based system designed to enhance the dining experience by providing users with a comprehensive platform to search for, explore, review, and book visits to restaurants. The system allows users to search for their preferred restaurants based on various criteria such as location, cuisine, and price range. Detailed information about each restaurant, including menu, location, and reviews from other users, is provided to facilitate informed decision-making. One of the key features of the system is the ability for users to leave their own reviews and ratings for the restaurants they have visited. These user-generated reviews contribute to a comprehensive database, which helps other users make informed choices. Furthermore, the system offers a convenient booking functionality that enables users to reserve a table at their desired restaurant on a specific date and time. This feature ensures a seamless experience for users and helps restaurant owners manage reservations efficiently. To enhance the user experience, the system incorporates a recommendation engine that suggests restaurants based on the user's past reviews and preferences. By analyzing the user's historical data, the system generates personalized recommendations that align with their taste, ensuring a tailored dining experience. Restaurants can actively participate in the system by adding themselves to the database, providing details such as menus and images. This functionality enables restaurants to showcase their offerings and attract potential customers. The project combines elements of restaurant discovery, detailed information presentation, user-generated reviews, booking functionality, and personalized recommendations to create an all-in-one solution for users seeking a seamless restaurant experience. The system benefits both users and restaurant owners, fostering informed decision-making, efficient reservations, and a dynamic dining environment.