Implementation of AI-Driven Smart Travel Planner using A* Algorithm
Year: 2024
Type: article
Abstract: In order to offer user-centric, algorithm-driven, optimized itineraries AI-based Smart Travel Planner System is an efficient platform that utilizes the A* algorithm to optimize travel routes and simplify trip planning. The system generates personalized itineraries based on user preferences, including destination priorities and time constraints, ensuring efficient and tailored travel experiences. By leveraging the A* algorithm, the system identifies the shortest and selects most efficient path between selected destinations, dynamically adapting to user-defined criteria. This approach highlights the potential of AI to streamline travel planning, offering optimized itineraries and enhance overall travel experiences. The travel planner could improve by using real-time data, optimized algorithms, NLP, wearable technology and partnerships for seamless bookings.
Authors: Mote, Aparna V., Rajgure, Nitisha K., Koparde, Sanika, Munot, Bhavana, Keswad, Tanishka, Nalawade, Tanaya
Institution: Zeal College of Engineering and Research, Pune
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949442961
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