IntentIQ Spatial is a high-frequency real estate intelligence engine. We fuse real-time macro indicators—like job growth from FRED and search demand momentum from Google Trends—with sub-neighborhood granularity. By integrating a native AI copilot with an interactive scenario simulator, we allow developers and investors to visualize the impact of migration shifts and economic shocks long before they happen.

Interactive Leaflet-powered dashboard that maps submarket-level "Demand Scores" (0-100). Uses custom glassmorphism gauges and heatmap layers to visualize market health.

Real-time macro-economic simulator. Adjust sliders for job growth, migration inflow, or interest rate deltas to see the geographic demand equilibrium shift instantly.

A native LLM-driven research assistant. Ask natural language questions like "Where is the rent growth momentum highest?" or "Analyze Austin's tech-migration risk" to configure the map layers automatically.

graph TD
    A[Public APIs: FRED, Google Trends] --> B[Data Ingestion Engine]
    B --> C[Normalization & Scoring]
    C --> D[Reality Engine Core]
    D --> E[React Dashboard]
    E --> F[AI Copilot - Groq/OpenAI]
    F --> E
    E --> G[Scenario Simulation Panel]
    G --> D

• Python 3.9+
• Node.js 16+
• (Optional) FRED API Key

cd backend
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn main:app --reload --port 8000

• API Docs: http://localhost:8000/docs

cd frontend
npm install
npm start

• Dashboard: http://localhost:3000/dashboard

Our Demand Score is an institutional-grade composite index calculated as: Demand = (0.35 * Job_Growth) + (0.25 * Search_Momentum) + (0.25 * Rent_Growth) + (0.15 * Migration_Inflow)

• Frontend: React.js, Tailwind CSS, React-Leaflet, Framer Motion, Lucide Icons
• Backend: FastAPI, Pandas, GeoPandas, Pytrends, FRED API
• AI: Groq SDK / OpenAI Integration
• Infrastructure: CartoDB Dark Matter (Free, high-contrast tiles)