Airline Path Planning System

Airline Path Planning System

Overview:
The Airline Path Planning System is an innovative solution designed to optimize airport path planning and enhance the user experience in airline booking applications. By employing advanced algorithms and modern architectural practices, this system aims to streamline operations and improve overall efficiency in the aviation industry.

Key Achievements:

  • Optimized Path Planning:
    The project significantly improved traditional methods for incremental adaptive graph-based searches in shortest path problems, achieving a remarkable 56% increase in efficiency for airport path planning. This enhancement allows for quicker and more accurate routing within airports, ensuring that aircraft can navigate complex environments more effectively and reduce ground delays.

  • Integration of Generative AI for User Assistance:
    By leveraging Generative AI, a responsive chatbot was implemented within the airline booking web application. This innovation reduced user search time by 76%, providing instant answers to queries and guiding users through the booking process. The chatbot enhances customer support by offering personalized assistance, making it easier for users to find and secure their desired flights.

  • Microservices Architecture for Enhanced Reliability:
    The traditional airline reservation system was transformed through the adoption of a microservices architecture. This approach improved system reliability and scalability, enabling different components of the system to operate independently. As a result, the application can handle increased traffic during peak booking periods without compromising performance, leading to a more robust user experience.

  • User-Centric Design:
    The system was designed with a focus on user experience, ensuring that the interface is intuitive and easy to navigate. Users can effortlessly access information, make bookings, and interact with the chatbot, enhancing overall satisfaction with the airline's services.

  • Future Scalability and Adaptability:
    The architecture is built to be scalable, allowing for the easy integration of additional features and services in the future. This adaptability positions the system well for evolving user needs and technological advancements in the airline industry.

Github Repo