AI Property Valuation Tool for the UAE Real Estate Market

This paper evaluates an AI Property Valuation Tool developed for the UAE real estate market, addressing the challenges of market volatility and inefficient traditional valuation methods. Utilizing a mixed-methods approach, the research examines how the integration of multiple large language models (LLMs), vector databases, and real-time data sources revolutionizes property assessment in the region. The tool demonstrates an 80% reduction in valuation time while maintaining accuracy through its innovative three-tiered search approach combining historical and current market data. Performance testing revealed sub-6-second latency for complex queries following optimization measures that improved accuracy by 21%. Despite challenges with data quality and algorithmic optimization, the system represents a significant advancement in property valuation technology. The research concludes with recommendations for enhancing the tool's capabilities through enriched data integration, market-specific prediction models, blockchain verification, and explainable AI frameworks to meet evolving market demands.