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@article{185985,
author = {Khan Mansafa Feroz and Kishori Ghule},
title = {AI-Powered Travel Manager and Companion},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {5},
pages = {3829-3835},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=185985},
abstract = {The rapid growth of the travel industry, combined with the increasing demand for personalized experiences, has created a need for intelligent travel management systems. This paper presents an AI-powered Travel Manager and Companion designed to simplify trip planning, optimize itineraries, and provide real-time personalized recommendations. The system integrates modern web technologies such as React and Next.js for frontend, ShadCN for UI components, Clerk for secure authentication, and PostgreSQL for data storage. AI services, including OpenAI models and external APIs, enable natural language processing, conversational assistance, and dynamic recommendations based on real-time conditions such as traffic, weather, and local events. The proposed system enhances user convenience, reduces planning overhead, and provides a seamless travel experience. Comprehensive implementation details, system architecture, data preprocessing techniques, and evaluation results are presented. Future work will focus on extending AI capabilities and integrating mobile platforms to improve accessibility.},
keywords = {Artificial Intelligence (AI), Travel Management, Personalized Travel, AI Travel Companion, Itinerary Planning, Conversational AI, React, Next.js, PostgreSQL, OpenAI, Dynamic Recommendations, Travel Automation.},
month = {October},
}
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