Mathematical Model Construction and Innovative Management Strategies for Tourism Development in the Post Pandemic Era Empowered by Artificial Intelligence

Using artificial intelligence and mathematical models, the current study takes a hybrid approach at developing some scientific solutions for the restoration of tourism during the post-epidemic period. It is expected that the combination of Python crawlers, GIS software, and machine learning algorithm to improve and use the scenic spot evaluation and carrying capacity model, combined with AI optimization strategy, can help the tourism industry to recover better and develop sustainably. The findings of this research will provide strong suggestions for managing scenic spots and governmental decision-making, as well as help the tourism industry to adapt to the post-epidemic era.