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@article{195129,
        author = {Kuppala Nikhita and Aakanksha lakshmi and K. Martina Rejoice and Swathi Sree},
        title = {AI-Based Virtual Guide for Improving Passenger Experience in Smart Airports},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7910-7914},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195129},
        abstract = {The current challenges in the operation of the modern airport include the congestion of passengers, excessive waiting time, inefficient baggage handling, and the lack of real-time monitoring. This paper proposes the development of an AI-based Airport Command and Intelligence System, referred to as RGIA AEROX, which aims to enhance the passenger experience and the operation of the airport. The system will include the integration of the security authentication system, the central command system, the flight booking and baggage system, the smart navigation and transportation system, and the real-time crowd monitoring system. The system will be developed using Node.js, Express.js, MySQL, HTML, CSS, and JavaScript programming languages, and the three-tier architecture will be used to ensure the scalability and efficient management of the system. The proposed solution aims to show the potential of AI-based digital command systems in improving the operation of the airport and the development of intelligent smart airports.},
        keywords = {Smart Airports, AI-Powered Systems, Crowd Density Prediction, Airport Command Centre Digital Twin, Passenger Experience, Predictive Analytics, Intelligent Airport Management.},
        month = {March},
        }