
The rapid advancement of internet technologies has significantly transformed the tourism and hospitality industry. This research paper presents XploreStays, a web-based travel accommodation listing platform designed to simplify the process of exploring and managing travel stays. The platform enables users to browse multiple property listings through a structured and user-friendly interface, with each listing containing essential information such as property images, location details, and pricing information. The system integrates a user authentication module and a dynamic pricing system that calculates the total cost of a stay by incorporating taxes and service fees. The platform introduces a dual-rating review mechanism that evaluates both accommodation quality and listing transparency. The architecture follows a layered web application model consisting of presentation, application, and data layers, implemented using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB. Results demonstrate an efficient and scalable solution for accommodation listing systems, serving as a foundation for future development including booking systems, payment gateways, and user review modules.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
