Design and Development of a Multilingual Inbound Tourism Service Platform Based on Visual AI Technology
Year: 2025
Type: conference-paper
Abstract: After the pandemic, tourism has fully recovered and China is actively promoting international exchanges. Building and studying a multilingual tourism data visualization platform is significant and helps promote sustainable development of tourism. By analyzing the real needs of inbound tourists, the main problems they face when traveling in China are scattered information, language barriers, and difficulty planning trips. Therefore, using Shanghai as a case, this study developed a service platform with many functions. The platform has modules like route recommendations, tourism trend display, multilingual guides, AI question-and-answer system, and travel log plaza. It provides a technical solution and an operation model to improve China's inbound tourism services.
Author: Shimiao Peng
Institution: Donghua University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7084154610