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A Hybrid Model-Driven Intelligent Travel Planning System: Integrating AI and User Preferences for Optimized Itinerary Generation

Authors:
J. Juslin Sega, G. V. Shaamili Varsa, R. Rajesh Kanna, S. Menaka, J. V. Ishaa

Addresses:
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.

Abstract:

Planning a trip can be exhilarating, but with millions of options for hotels, flights, destinations, and eateries, it becomes a chore at times. However, using a travel planning app can get everything done much more easily and efficiently. All one needs to do is enter their starting location, destination, budget, and group size, and the application takes care of all the rest. It suggests accommodations within your budget and group's needs, includes must-visit attractions nearby, finds flights with travel dates on your calendar, and even has some great dining recommendations within arm's reach. But don't stop here. The application keeps you current in real-time, so you don't need to worry about last-minute changes to a flight or be surprised by them. Then it helps you search with interactive maps; personal filters ensure results refine to focus on your interests—that's a hotel with a pool, a restaurant that is entirely vegan, or adventurous outdoor activities. You avoid all the hassles of the trip, so it will be easy to stay under budget and remain completely focused on matters that really count—the joys of your trip. It's the perfect travel companion with a smart, user-friendly approach that makes every trip smooth, memorable, and truly stress-free.

Keywords: Hybrid Model; Artificial Intelligence; Itinerary Generation; Travel Planning App; Real-Time; Interactive Maps; Outdoor Games; Travel Companion; User-Friendly; Stress-Free.

Received on: 11/09/2024, Revised on: 25/11/2024, Accepted on: 30/12/2024, Published on: 05/06/2025

DOI: 10.69888/FTSCS.2025.000433

FMDB Transactions on Sustainable Computing Systems, 2025 Vol. 3 No. 2, Pages: 84-100

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