Hotel booking and listing

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.

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Institutions

Publication Details

Journal
International Journal of Research in Engineering and Innovation
Published
2025-01-01
DOI
https://doi.org/10.36037/ijrei.2025.9409
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
0.00
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article

Hotel booking and listing

T. Suresh Kumar, Saurabh Kumar, Tarun Verma, Anshu Sharma et al.
International Journal of Research in Engineering and Innovation
Sharing Economy and Platforms
article

Hotel booking and listing

T. Suresh Kumar, Saurabh Kumar, Tarun Verma, Anshu Sharma, Virat
article en

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.

International Journal of Research in Engineering and InnovationVol. 09(04)
Chaudhary Charan Singh University (IN)
Openalex Percentile: Top 83%
Sharing Economy and Platforms
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