Design and Implementation of Virtual Tour Guide App

Abstract

This paper is about a flutter-based application which integrates different functionalities into a single app hence helping the tourists get important information and functionalities at the same place without the need to explore multiple applications. This application offers 3 main services. The first service does image recognition with the help of google cloud vision API and provides information about the recognized tourist attraction using web scraping techniques. The second functionality of the app is planning a trip which provides content-based recommendation and optimal route generation by solving the travelling salesman problem (TSP) using genetic algorithm. Both these services are implemented as Rest API in Django. The third major feature is finding a tour guide virtually and obtaining information from them directly. Thus, also creating job opportunities for many tour guides.