The main aim of this project is to develop a decentralized travel booking and reservation platform where users can directly interact with service providers—such as hotels, airlines, or car rental agencies—without intermediaries. The platform uses blockchain to ensure data integrity, security, and transparency for all booking records. Smart contracts are used to automate booking confirmations, payment settlements, and cancellation or refund procedures. This system reduces reliance on centralized travel agencies, cutting costs and improving user trust. Optionally, machine learning models can be integrated to personalize recommendations and optimize booking patterns based on user behavior and demand forecasting. By the end of the project, students are expected to deliver a functional prototype that showcases how decentralized technologies can be leveraged for a seamless and efficient travel booking experience.
The project is divided into twelve weekly milestones, starting with foundational understanding and moving towards application development. Students will begin by studying blockchain principles, especially in the context of decentralized applications (DApps), and familiarize themselves with development tools such as Remix IDE, Truffle Suite, and Hardhat. They will explore front-end frameworks like React.js, Angular, or Vue.js to create a responsive user interface.
The core development will involve writing smart contracts to handle core booking operations such as search, payment, confirmation, cancellations, and refunds. A user dashboard will be created where travelers can browse services, make reservations, and view their booking history. Machine learning features may be optionally added to recommend personalized offers or predict demand trends. The later stages include testing the system, optimizing performance, finalizing documentation, and preparing a group presentation. Students are expected to maintain ethical development standards, ensure secure handling of user data, and adhere to good software engineering practices.
