AI-Based Flight Ticket Booking System

Abstract- The airline industry has been transformed by rapid advancements in digital technologies, with Artificial Intelligence (AI) emerging as a powerful enabler of efficiency, accuracy, and personalization in ticket booking systems. Traditional flight booking processes were dependent on manual intervention, limited schedules, and static pricing models, which restricted accessibility and flexibility for passengers. With the rise of AI, booking platforms are now equipped with predictive analytics, machine learning algorithms, natural language processing (NLP), and intelligent Recommendation systems that allow dynamic ticket pricing, secure transactions, and customer-centric experiences. This paper explores the historical evolution of airline booking, from manual reservation systems to AI-driven platforms. It analyses the underlying AI technologies, their advantages, limitations, and integration challenges in real-world airline operations. Furthermore, the study highlights future trends such as blockchain-based ticketing, immersive booking interfaces, and hyper-personalization of travel services. By addressing the ethical and technical challenges of AI adoption, airlines can create a more intelligent, accessible, and sustainable booking ecosystem. Keywords: Artificial Intelligence, Flight Ticket Booking, Machine Learning, Automation, Recommendation Systems, Fraud Detection, Customer Experience, Dynamic Pricing