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Final Year Project

Foodie Recommender App

Team

MU Muhammad Sami MA Maaz Ahmed MU Muhammad Junaid Rizvi
Application Cuisine Preferences Intelligent System GPS Technology User Preferences Location-Based Recommendation AWS Food Places Databases Nearby Restaurants Cafes Range Location’s Function Value for Money

Abstract

Our application can help users in choosing cuisine that suits their preferences around them. It is an intelligent system that uses GPS technology and user preferences to provide suggestions. However, while they are out shopping or somewhere, most foodies find it difficult to locate the best food in town. Foodie is a location-based recommendation app powered by AWS that benefits users in a unique way since food places are constantly added to databases. The easiest plan of action is to simply search for nearby restaurants, and for foodies, a feature that makes it simple for users to locate the restaurants and cafes they want to visit is the range and all-over locations function the application provides. Value for money is another aspect to consider for foodies, while the user gets the places, and their special food item is the primary goal of the application.
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