Abstract
This paper presents an enhanced Hotel Booking Management System incorporating artificial intelligence to deliver personalized food recommendations. The system employs a role-based architecture comprising Admin, User, and Owner modules, facilitating secure and structured access control. It automates the end-to-end process of user registration, hotel booking, food ordering, and feedback collection. One of the standout components is its AI-powered food recommendation engine based on collaborative filtering. By analyzing historical data and identifying similarities among users, the system predicts and recommends food items tailored to individual preferences. The proposed solution enhances user satisfaction by aligning services with personal tastes while also streamlining operational workflows. This paper outlines the system architecture, details the implementation of AI methodologies, presents performance metrics, and discusses the system’s impact on hospitality service personalization.
Keywords
Hotel Management
Database System
Booking
Food Orders
Customer Feedback
Owner Information
Data Integrity
Operational Efficiency
Hospitality Industry
Relational Database
Authors
How to Cite this Article
V.Reshma, Dr.N.Jean Effil (2025).
"ENHANCED HOTEL BOOKING MANAGEMENT SYSTEM WITH AI-POWERED FOOD RECOMMENDATION ENGINE".
International Journal of Contemporary Research in Computer Science and Technology,
8(1), pp. 32-34.
