ROOM RESERVATION AND MANAGEMENT APPLICATION WITH AI TRIP PLANNER

The Guest Room Reservation and Management System with AI Trip Planner is a smart, web-based platform designed to simplify room booking and travel planning. It addresses the limitations of traditional systems by integrating real-time availability updates, automated booking management, and personalized trip suggestions. Built using the MERN stack (MongoDB, Express.js, React, Node.js), the system ensures scalability, security, and responsiveness. Property owners can efficiently manage room listings, availability, and reservations, reducing conflicts and double bookings. The AI Trip Planner analyzes user preferences, budget, and travel constraints to generate customized itineraries. It leverages machine learning algorithms to recommend accommodations, activities, and dining options. Real-time data synchronization ensures accurate availability and smooth operations. Customers benefit from advanced search filters, secure payment processing, and instant booking confirmations. The platform enhances user engagement by reducing manual effort in planning and booking. It improves operational efficiency for property owners and convenience for travellers. The system’s modular architecture supports future enhancements and third-party integrations. Overall, this project aims to revolutionize the travel and hospitality experience through AI-driven, user-centric solutions Key Words: Room booking, Trip planner, AI, Machine learning, MERN stack, Real-time updates, Reservation system.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-06
DOI
https://doi.org/10.55041/isjem02646
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

ROOM RESERVATION AND MANAGEMENT APPLICATION WITH AI TRIP PLANNER

M Maheswari, Bala Atchaya R, Libanya Gifty, S Malaiarasan
International Scientific Journal of Engineering and Management
IoT and GPS-based Vehicle Safety Systems
article

ROOM RESERVATION AND MANAGEMENT APPLICATION WITH AI TRIP PLANNER

M Maheswari, Bala Atchaya R, Libanya Gifty, S Malaiarasan
article en

Abstract

The Guest Room Reservation and Management System with AI Trip Planner is a smart, web-based platform designed to simplify room booking and travel planning. It addresses the limitations of traditional systems by integrating real-time availability updates, automated booking management, and personalized trip suggestions. Built using the MERN stack (MongoDB, Express.js, React, Node.js), the system ensures scalability, security, and responsiveness. Property owners can efficiently manage room listings, availability, and reservations, reducing conflicts and double bookings. The AI Trip Planner analyzes user preferences, budget, and travel constraints to generate customized itineraries. It leverages machine learning algorithms to recommend accommodations, activities, and dining options. Real-time data synchronization ensures accurate availability and smooth operations. Customers benefit from advanced search filters, secure payment processing, and instant booking confirmations. The platform enhances user engagement by reducing manual effort in planning and booking. It improves operational efficiency for property owners and convenience for travellers. The system’s modular architecture supports future enhancements and third-party integrations. Overall, this project aims to revolutionize the travel and hospitality experience through AI-driven, user-centric solutions Key Words: Room booking, Trip planner, AI, Machine learning, MERN stack, Real-time updates, Reservation system.

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 94%
IoT and GPS-based Vehicle Safety Systems
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