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Final Year Project
Foodie Recommender App
Team
MU
Muhammad Sami
MA
Maaz Ahmed
MU
Muhammad Junaid Rizvi
ApplicationCuisinePreferencesIntelligent SystemGPS TechnologyUser PreferencesLocation-Based RecommendationAWSFood PlacesDatabasesNearby RestaurantsCafesRangeLocation’s FunctionValue 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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