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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63662
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Engineering
Indira College of Engineering and Management Pune
Computer Engineering
Indira College of Engineering and Management Pune
Computer Engineering
Indira College of Engineering and Management Pune
Computer Engineering
Indira College of Engineering and Management Pune
Computer Engineering
Indira College of Engineering and Management Pune
Trip Heaven is a modern hotel booking and management platform designed to simplify accommodation selection, booking, and administrative operations through an intelligent and user-centric interface. The system integrates a React.js front-end, a reliable PHP–MySQL backend, and AI-enhanced features such as review summarization and safety indexing. Trip Heaven enables users to search hotels, compare rooms, check availability, and confirm bookings in real time. Administrators can manage room inventory, update availability, and maintain booking records seamlessly. The platform aims to address limitations seen in current hotel reservation systems such as outdated inventory, overwhelming customer reviews, and the absence of safety by offering automated processing, real-time data accuracy, and AI-driven decision support. This research presents the platform’s architecture, methodology, algorithmic approach, and its impact on improving user experience, reliability, and operational efficiency. .
KEYWORDS
Trip Heaven successfully integrates artificial intelligence with modern web technologies to create an efficient, user friendly, and intelligent hotel booking system. With real time availability updates, AI-based review summarization, and safety insights, the system enhances transparency and convenience for travelers. For administrators, it reduces manual workload and supports efficient hotel management. The project demonstrates strong implementation of full-stack development principles and provides a strong foundation for future enhancements such as automated chat support, dynamic pricing, and advanced personalization.
1. Belibasakis, N., Giannaros, A., Giannoukou, I., & Sioutas,S.(2025). Enhancing Hotel Recommendations Using AI. Journal of Intelligent Information Systems. 2.WifiTalents. (2025). AI in the Hotel Industry: Adoption, Innovation, and Guest Experience Statistics. 3.Nawawi, N., Abdullah, F., & Hassan, S. (2024). AspectBased Sentiment Analysis for Tourist Reviews Using ZeroShot Learning. Information (MDPI). 4.Ignat, O., Xu, W., & Mihalcea, R. (2024). MAiDE-up: Multilingual Dataset of Real and AI-Generated Fake Hotel Reviews. arXiv. 5.Impact Of Attribute Ratings On Overall Hotel Ratings: Sentiment Analysis of Indian Five-Star Hotels (2024). Journal of Hospitality & Tourism Technology. 6.AllAboutAI. (2024). AI Statistics in Hospitality: Voice Assistants, Chatbots, and Personalization Trends. 7.Kumar, P., & Sharma, A. (2022). Web-Based Hotel Management Systems Using React and PHP. International Journal of Computer Applications. 8.Duckett, J. (2014). Web Design with HTML, CSS, JavaScript and jQuery. Wiley. Foundational web development concepts required before mastering React.
Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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