AI POWERED REAL ESTATE SYSTEM

Abstract: The management and discovery of real estate properties is a critical task in modern property platforms, requiring efficient and accurate methods to assist users in making informed decisions. Traditional real estate systems often rely on manual browsing and basic filtering, which can be time-consuming and less personalized. In recent years, artificial intelligence–based approaches have emerged as powerful tools for enhancing property search and management systems. This paper presents a study on the application of an AI-powered real estate system for intelligent property listing, search, and appointment management. The proposed system leverages modern web technologies and AI-assisted filtering mechanisms to improve the accuracy and relevance of property recommendations. The system architecture follows a modular design where the backend handles data processing and storage, while the frontend provides an interactive and user-friendly interface. Intelligent filtering and sorting mechanisms help users efficiently locate properties based on preferences such as location, price, and property type. The results demonstrate that the AI-powered real estate system improves user experience by providing faster property discovery and efficient management compared to traditional listing platforms. The application is implemented as a web-based system using React.js on the frontend with a Node.js and Express backend, and MongoDB for data storage.

Keywords: Artificial Intelligence (AI), Real Estate Management, Property Listing, Node.js, Express.js, React.js, MongoDB, JWT Authentication, Appointment Scheduling, Admin Dashboard, Web Application, Property Recommendation, Role-Based Access Control, ImageKit, Full-Stack Development, Data Analytics, User Interaction Tracking, Property Search, Intelligent Filtering, Decision Support System.