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
- M Maheswari
- Bala Atchaya R
- Libanya Gifty
- S Malaiarasan
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