DarHub PropTech

Real Estate Data Analytics & Valuation

PropTechXGBoostData AnalyticsReal EstatePythonAPI Integration

A data-driven analytics and valuation platform developed for an investment advisory firm operating in the UAE real estate market. The firm tracked performance of 2,800+ properties in its client portfolio and evaluated new investment opportunities. Market data was gathered manually from disparate sources, valuation processes relied on Excel-based models, and did not reflect current market conditions.

We built a data collection pipeline that aggregates data from the Dubai Land Department (DLD) REST API, the Abu Dhabi DARI platform, and custom web scraping layers. The collected data is processed using XGBoost and LightGBM models; we produced an Automated Valuation Model (AVM) that evaluates 47 variables including location, area, floor, year, and nearby amenities. Users can perform market trend analysis on an interactive dashboard, track portfolio performance, and run scenario-based investment simulations.

System Architecture

UsersApplicationServicesDataGraphQLGraphQLQueryEstimateLeadsDataIngestMetricsIndexWeb PortalMobile AppAPI LayerSearch EngineValuation ModelAnalytics EngineCRM ModuleProperty DBMarket Feed

Highlights

  • DLD & DARI API integration + custom web scraping layer
  • XGBoost/LightGBM-based Automated Valuation Model (47 variables)
  • Interactive market trend analysis dashboard
  • Scenario-based investment simulation engine
  • Dubai, Abu Dhabi, and Sharjah market coverage

Results

AVM median error rate at 4.7% (near professional appraisal)
Analysis time reduced from 2 weeks to 30 minutes
Automated performance tracking for 2,800+ portfolio properties
Investment decisiveness scorecard for risk assessment