The global real estate market, characterized by fragmentation and information asymmetry, is ripe for digital
transformation. This paper proposes an AI-enhanced unified platform designed to seamlessly integrate sales and rental
operations, offering a comprehensive and intelligent solution for all stakeholders. Leveraging advanced Artificial Intelligence
(AI) techniques, including machine learning for predictive analytics, natural language processing for semantic search and content
analysis, computer vision for property evaluation, and sophisticated recommender systems, the proposed platform aims to
significantly enhance market transparency, operational efficiency, and user experience. We outline a prototype-driven
framework, detail the integrated AI components, discuss the methodological considerations for development, and enumerate the
profound benefits this unified approach offers over traditional, siloed marketplaces. Furthermore, we address the inherent
challenges and delineate future research directions, positioning this platform as a transformative force in the evolving real estate
landscape. To validate the feasibility of the proposed framework, a functional prototype was developed using a cloud-enabled
architecture comprising React/Next.js frontend services, AWS Cognito authentication, Amazon S3 storage, Mapbox-based
geospatial visualization, and an Express.js backend with PostgreSQL data management. Preliminary experimentation with
machine learning models for property price prediction and text classification was also conducted to assess AI integration
feasibility.
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