Meal Recommendation System

Abstract

"The project aims to develop a meal recommendation system that proposes the best meals to users based on their previous experiences. In today's world, when there are so many restaurants, it can be difficult to choose the proper one and meal. This recommendation system helps consumers make informed decisions by providing insights into restaurants and meals based on prior customers' experiences.

The system collects user feedback, such as recommendations, ratings (from one to five), and reviews of restaurants and their cuisine. It then analyzes the data to provide scores for each menu item. Users can use these ratings to determine where to eat and what to order. The system also keeps different profiles for each restaurant location to accommodate for differences in quality between locations. Users may compare menus, provide feedback, and get important restaurant information.

Overall, the restaurant recommendation system provides users with a convenient way to explore and discover the best dining experiences, utilizing collective input to guide their decisions for better satisfaction."