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@article{180373,
        author = {Mansi Painuly and Rishab Negi and Simran Budhiraja and Rana Jafri and Garima Gakhar},
        title = {Flybook -Airline Ticket Reservation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1307-1312},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180373},
        abstract = {Air travel continues to be a vital component of global transportation. The rise in demand for seamless and secure online ticket booking systems has pushed the need for efficient, user-friendly, and scalable platforms. FlyBook is a web-based airline reservation system that allows users to search, book, and manage flight tickets efficiently. This paper presents the system design, core functionalities, database structure, security features, and user experience considerations of FlyBook. It also addresses performance challenges and offers solutions for scalability},
        keywords = {Deepfakes, Deep Learning, Artificial Intelligence,  Deepfake Detection, Generative Adversarial Networks},
        month = {June},
        }