International Journal on Science and Technology

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AI-Powered Personalized Travel Itinerary Planning Using Real-Time Data

Author(s) CHANDAN DESHMUKH, Aakash Khan, Pratham Upadhyay, Shreejai Savalkar
Country India
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.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-22
Cite This AI-Powered Personalized Travel Itinerary Planning Using Real-Time Data - CHANDAN DESHMUKH, Aakash Khan, Pratham Upadhyay, Shreejai Savalkar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3867
DOI https://doi.org/10.71097/IJSAT.v16.i2.3867
Short DOI https://doi.org/g9gdtc
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