Enhancing Trip Planning with Undetectable AI and Machine Learning Personalization

Abstract

This research investigates the influence of Artificial Intelligence (AI) and Machine Learning (ML) on the personalization of travel itineraries. The study explores how these technologies enhance user experience, streamline planning processes, and address the complexities of trip customization. Emphasis is placed on the methods employed to ensure AI-driven solutions remain undetectable to users, maintaining a seamless and intuitive interface. Keywords: AI –Artificial Intelligence, ML-Machine Learning, Personalised Itinerary