Year: 2025
Type: article
Abstract: In this work, we explore the design and deployment of a full-stack hotel booking and listing web application, reflecting the growing influence of digital technologies in the hospitality and tourism industries. As traditional booking methods—such as phone calls, walk-ins, and emails—decline, travelers increasingly prefer real-time, transparent, and user-friendly web platforms. To meet these demands, we developed a dynamic system using the MERN-style stack (Node.js, Express.js, MongoDB, and EJS), offering a seamless experience for users to search, filter, and book hotel rooms. The application includes core functionalities such as user registration, authentication, hotel listing management, real-time booking, and a review and rating system to support user decision-making. A standout feature is the integrated chatbot module, providing interactive assistance with typing animations, contextual feedback, and a conversational interface. The backend ensures secure data handling, structured MongoDB storage, and well-documented Express.js routing using the MVC architecture for maintainability and scalability. EJS templating enables real-time dynamic rendering without full-page reloads, enhancing responsiveness. This report documents the development process, tools, and challenges, and evaluates the application's usability and scalability. Future enhancements include payment integration, AI-based hotel recommendations, geolocation, and multilingual support, positioning the platform as a comprehensive digital solution for modern travelers.
Authors: Tarun Verma, Virat, Saurabh Kumar, Tanishq Kumar, Amol Sharma
Language: English
Topic: Mobile and Web Applications
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411287588