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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
               Innovative Features and Design:
             The FlySmart system incorporates new features and innovative approaches for helping to make an airline's booking platform
             more efficient, scalable, and user-friendly. This incorporates optimized SQL queries with indexed columns for quick retrieval of
             flight data even in very large datasets as well as dynamic search algorithm that interfaces third party APIs such as Amadeus or
             Skyscanner that can update it in real-time about the flights that are available as well as a change in their prices.
             The system is designed on a microservices-based architecture that is deployed in a cloud environment. Horizontal scaling can
             manage peak traffic without compromising performance, and load balancers and containerized services help in efficient
             resource utilization and reliability of the system.
             Secure payment processing is ensured by linking with such secure gateways as Stripe, thereby abiding by the PCI DSS
             compliance standards. It uses advance encryption techniques, including AES-256, for encrypting data for users. It also provides
             tokenization in order to limit exposure of sensitive information.
             The  system  remains  online  during  an  outage  or  failure,  thanks  to  the  automated  failover  mechanism  and  retry  logic.
             Redundancy and avoiding data loss are achieved by employing a primary-replica database configuration.
             FlySmart  features  machine  learning  algorithms  that  help  provide  personalized  user  experiences  by  analyzing  a  user's
             preference and booking history to recommend personalized flights and price predictions. This responsive, mobile-friendly
             interface improves accessibility for its users across any device.
             This combination of the features makes FlySmart a strongly user-centric robust platform designed to meet all demands of
             modern systems in airline booking.


























                                                           Fig.(b)
             IV.    PROPOSED RESEARCH MODEL
             This concept, FlySmart, is about the latest advanced comprehensive airline booking platform to alleviate inefficiencies and
             shortcomings in old systems. Its technologies ensure secure, scalable, and user-friendly interfaces. Efficient flight searches and
             easy booking are key, ensuring that transactions occur within a secure transactional framework. In this sense, real-time
             updates should lead to better customer satisfaction and reliable systems.
             The  architectures  used  in  FlySmart  promise  to  make  the  application  modular,  scalable,  and  performance-optimizing.
             Components of architecture include the following.
             Frontend Layer: It accommodates a responsive web and mobile interface by which the user may browse flights to retrieve
             prices, book tickets, and view details easily.
             Backend Layer: It is a robust middleware that handles user queries and interacts with APIs and business logic.
             Third-party integrations, such as real-time flight data from Global Distribution Systems (GDS) such as Amadeus, payment
             processing through Stripe, and a notification service.
             Database layer: A relational database optimized for indexing to improve data retrieval and for storing flight schedules, user
             information, and transaction logs.











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