A Sustainable Next-Generation Digital Tourism Guide for Sindh Using a Multilingual Chatbot

Tushar Rai; Vinod Kumar; Madeha Memon; Sanam Narejo

Authors

Tushar Rai Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Vinod Kumar Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Madeha Memon Department of Computer Systems Engineering, Mehran University of Engineering and Technology
Sanam Narejo Department of Computer Systems Engineering, Mehran University of Engineering and Technology

Keywords:

Smart Tourism, Artificial Intelligence, Web GIS, Progressive Web Application, Cultural Heritage

Abstract

In Pakistan, the Sindh tourism sector has great cultural and economic potential, which is still limited due to a lack of digital access, poor navigation facilities, and language barriers. This research paper is an investigation of “A Tech Driven Guide to Explore Sindh”, a smart tourism platform that combines Artificial Intelligence, Web-Based Geographic Information Systems, and Progressive Web Application technology to enhance accessibility, usability, and interaction with the culture. The site talks of significant heritage and natural places such as Mohenjo-Daro, Ranikot Fort, and Keenjhar Lake, in addition to offering personalized suggestions and multilingual services. The frontend version of the system is created in React.js and TypeScript, and the backend version is implemented with Node.js and Express.js, as well as MongoDB for data storage. A rule-based recommendation engine was used to analyze user preferences to create a personalized itinerary. The Web GIS module provides interactive spatial visualization and navigation, and PWA enables offline support and cross-device compatibility. The natural language processing-driven chatbot achieved an accuracy of 92 percent during testing across different travel scenarios. A total of 150 survey respondents participated in the evaluation of tourist challenges and system usability. The usability testing results indicated overall satisfaction levels ranging from 82 percent to 90 percent across major system features, with offline access receiving the highest satisfaction score of 90 percent. The extensive testing— including unit, integration, functional, non-functional, black-box, white-box, and performance tests— was used to ensure reliability and usability of the system. The results reveal that the platform enhances access to information, route planning, and interaction with cultural heritage. The system is in line with the Sustainable Development Goals of economic growth, innovation, and sustainable cities. The platform facilitates heritage conservation, community-based tourism, and enhanced visitor satisfaction by integrating modern technology with cultural preservation.

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