虚拟导游App的设计与实现

Baivab Maulik, Aditi Nayak, S. U., Simmi Alok, D. N
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引用次数: 1

摘要

本文是关于一个基于flutter的应用程序,它将不同的功能集成到一个应用程序中,从而帮助游客在同一地点获得重要的信息和功能,而无需探索多个应用程序。该应用程序提供3个主要服务。第一项服务在谷歌云视觉API的帮助下进行图像识别,并使用网络抓取技术提供有关已识别的旅游景点的信息。该应用程序的第二个功能是规划行程,通过使用遗传算法解决旅行推销员问题(TSP),提供基于内容的推荐和最佳路线生成。这两个服务在Django中都是作为Rest API实现的。第三个主要特点是虚拟地找到导游,并直接从他们那里获得信息。因此,也为许多导游创造了就业机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Virtual Tour Guide App
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.
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