WanderSmart: Trip Planning With AI

Author(s)	Pooja Karkhile, Vaishnavi Kavade, Ayush Gandhewar, Om Rai, Manasi Karajgar
Country	India
Abstract	Trip planning can be daunting, particularly when tourists have to deal with several variables such as budget, length of stay, interests, and group dynamics. WanderSmart seeks to eradicate this stress by using artificial intelligence to craft fully personalized travel itineraries. Our system takes inputs like destination, duration, travel partners, and budget restrictions to suggest tourist spots, create day-wise itineraries, and provide approximate costs. Through the use of real-time information and user interests, WanderSmart tailors every itinerary to provide a well-balanced, cost-effective, and enjoyable travel experience. With features such as budget recalculation, on-the-spot customization, booking redirection, and chatbot assistance, WanderSmart is an intelligent digital travel guide. This work introduces the system design and implementation, and places it as an advancement in AI-driven, user-focused trip planning.
Keywords	Artificial Intelligence, Machine Learning, Smart Tourism, Natural language processing (NLP), Recommendation system, Conversational AI, Real-Time Data Analysis
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-03
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5915
Short DOI	https://doi.org/g9m28w

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International Journal on Science and Technology