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This work is licensed under a Creative Commons Attribution 4.0 International License.
AI BNB: AI-BASED TRAVEL LISTING AND BOOKING PLATFORM
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Abstract: This paper presents AI BnB, an AI-powered travel and accommodation booking platform built using the MERN stack (MongoDB, Express.js, React.js, Node.js). The platform addresses the growing need for intelligent, personalized property discovery by integrating a machine learning-based recommendation system that analyses user preferences, search history, and behavioural patterns. The system enables users to search, filter, and book properties seamlessly, while hosts manage listings and administrators oversee the platform. Key features include role-based JWT authentication, AI-driven property recommendations, smart search filters, secure booking management, and an AI Concierge powered by the Gemini API for natural language hotel queries. The platform is designed for scalability, responsiveness, and data security, demonstrating how AI combined with modern web development can significantly improve user experience in the hospitality domain.
Keywords: AI Recommendation System, Travel Booking, MERN Stack, Machine Learning, Property Listing, JWT Authentication, Gemini API, MongoDB
Keywords: AI Recommendation System, Travel Booking, MERN Stack, Machine Learning, Property Listing, JWT Authentication, Gemini API, MongoDB
How to Cite:
[1] Gaurav Yadav, Tanveer Alam, Balbir Singh, Rishabh Shukla, Ms. Deepika Pandey, “AI BNB: AI-BASED TRAVEL LISTING AND BOOKING PLATFORM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15542
