Innovating Tourism: Personalized Recommendations through AI

This paper delves into the development and deployment of an AI-powered chatbot aimed at enhancing tourism experiences. By integrating advanced natural language processing and machine learning techniques, the chatbot offers personalized travel recommendations and information, serving as a versatile tool for tourists. Through experimental evaluation involving intent classification and user satisfaction, the chatbot demonstrates significant accuracy in understanding user queries and a positive impact on user satisfaction. Intent classification using DistilBERT achieved a high F1-score, indicating superior understanding capabilities. User feedback highlighted satisfaction and likelihood of reuse, pointing to areas for further refinement in response relevance.