Sarcouncil Journal of Engineering and Computer Sciences

Abstract: The aviation sector is undergoing a technological transformation as conventional kiosk systems evolve into smart, adaptable platforms via the incorporation of artificial intelligence and cloud computing. This article explores how these technologies improve user experience, system scalability, and operational durability in contemporary aviation kiosks. Utilizing natural language processing, computer vision, and machine learning, these advanced systems offer user-friendly, customized interfaces that cater to varied passenger requirements while upholding security measures. The adoption of cloud-based frameworks facilitates flexible resource distribution, ongoing deployment options, and layered processing that maintains functionality even amid connectivity issues. AI-powered resilience strategies, such as predictive maintenance, automated recovery, and smart load balancing, greatly enhance system reliability while optimizing passenger movement. Case studies show significant enhancements in processing durations, system reliability, and passenger contentment. The article ends by examining future avenues such as multimodal biometrics, inter-airport data sharing, predictive passenger flow improvement, and sophisticated edge computing, emphasizing the transformative possibilities of AI-powered kiosks in the developing smart airport environment.