Trip-ify: A Smart and Interactive Travel Planning Web Application

Abstract

This thesis highlights the design and development of Trip-ify. This intelligent travel planner utilises Artificial Intelligence to create a simplified and personalised travel plan for its users. The system integrates a React-based frontend and a scalable backend powered by Node.js and Firebase Hosting. By incorporating recommendation systems and real-time data processing, the application provides its users with tailored travel suggestions based on their preferences. The project follows agile and Scrum methodologies, emphasising iterative development with continuous improvement. Overall, this work demonstrates how modern web technologies and AI can be combined to create efficient, user-centred travel planning solutions.