Year: 2025
Type: article
Abstract: Technological advancements have brought significant changes to the travel sector, enhancing user experience and enabling more streamlined trip planning. Despite this progress, most current itinerary planning platforms fall short in offering personalized and holistic travel plans that align with the diverse expectations of travelers. To bridge this gap, the "AI-Based Travel Itinerary Planner" proposes a transformative solution that utilizes artificial intelligence (AI) and natural language processing (NLP) to create smart, optimized travel schedules. This system factors in vital elements like travel duration, destinations, and weather conditions to deliver more meaningful and efficient journeys. The primary aim of this project is to equip users with an intuitive platform that merges their interests, constraints, and preferences to generate fully customized itineraries. By incorporating advanced algorithms and leveraging real-time information, the system presents a modern alternative to conventional planning methods, which often lack personalization and adaptability. The integration of AI and NLP allows for dynamic itinerary creation that evolves with user input and environmental factors. Unlike traditional tools, this approach ensures a rich and user-centered planning experience. With the implementation of intelligent technologies and a data-centric framework, the "AI-Based Travel Itinerary Planner" seeks to redefine how travelers organize and enjoy their trips, offering a comprehensive, adaptive, and user-focused planning tool.
Authors: CHANDAN DESHMUKH -, Aakash Khan -, Pratham Upadhyay -, Shreejai Savalkar -
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409696162