NOVALAND: An AI-Integrated Real Estate Marketplace Web Application

Abstract

This paper presents the design and development of NOVALAND, a modern, AI-integrated real estate marketplace web application built to streamline property discovery, listing management, and buyer-agent interaction. The platform leverages a React.js-based frontend with Tailwind CSS, responsive UI card components, and dynamic property filtering to deliver a high-performance user experience. An embedded AI coaching module powered by the Claude API provides personalized guidance to users across the property buying, renting, and selling spectrum. The system was evaluated with a sample of 200 users, achieving a satisfaction rate exceeding 90%. Experimental results demonstrate that integration of AI-driven query resolution with structured property listing workflows significantly reduces user dependency on manual agent consultation. The platform demonstrates effective application of modern web engineering practices including responsive design, client-side routing, and AI API integration for the real estate domain. A user evaluation conducted with 200 participants yielded a satisfaction rate exceeding 90%, demonstrating the platform's effectiveness in reducing dependency on manual agent consultation and improving the overall property search experience. This work illustrates a practical application of modern web engineering and AI API integration in the real estate domain.

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