Trip Advisor Web App: API-Driven Travel Planning and Research Overview

Abstract

The proposed Trip Advisor web application makes use of APIs and artificial intelligence for providing intelligent and personalized trip advice. The application combines crowd-sourced information, weather forecasts, path and cost estimation, and the generation of an itinerary by utilizing crowd data and weather forecasts. Moreover, the application makes use of large language models for providing personalized trip advice with the help of chat interfaces. This is further coupled with the sentiment analysis of user opinions for providing information on destinations and the quality of services.