Wanderer: An Integrated Application for Seamless Travel and Tourism

Author(s)	Ms. Prashansa Erica Prakash, Mr. Shivansh Shukla, Mr. Karan Singh, Dr. Priyanka Maan
Country	India
Abstract	Before deciding on an itinerary, customers have to navigate a confusing network of websites, apps, and information in today's fragmented travel experience. In order to provide a smooth, customized, and intelligent travel experience, this paper presents Wanderer, an AI-based, integrated web application for travel planning that makes use of modern web technologies and advanced machine learning models. Wanderer tackles cognitive overload and choice fatigue in vacation planning by integrating a dynamic itinerary builder, community-driven modules, and an intelligent recommendation system. The paper examines Wanderer's potential to revolutionize digital tourism in the era of artificial intelligence by outlining its conceptual framework, technology execution, and user-centric design.
Keywords	AI-based travel planning, machine learning models, dynamic itinerary builder, intelligent recommendation system, cognitive overload, choice fatigue, customized travel experience, digital tourism, artificial intelligence,
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-13
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.48313

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