| # PropertyVision Presentation Outline |
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| ## Slide 1: Title |
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| PropertyVision BI - Real Estate Decision Intelligence |
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| ## Slide 2: Problem |
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| - Doanh nghiệp cần chọn khu vực đầu tư, định giá tài sản, kiểm soát ROI và rủi ro. |
| - Listing rời rạc không đủ để ra quyết định chiến lược. |
| - Cần MIS/DSS/EIS tích hợp BI, GIS, ETL và AI. |
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| ## Slide 3: Data |
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| - `clean_data.csv`: listing đã xử lý. |
| - SQLite warehouse: dimension, fact listing, mart district monthly. |
| - Transaction proxy: public listing/time-series datasets. |
| - Planning/legal docs: HCMGIS, cổng quy hoạch, legal/planning cache. |
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| ## Slide 4: Architecture |
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| - Frontend: React + Recharts + Leaflet. |
| - Backend: FastAPI. |
| - Storage: SQLite. |
| - ML: Random Forest. |
| - RAG: sentence-transformers + NearestNeighbors. |
| - LLM: Ollama local model. |
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| ## Slide 5: Method |
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| - KPI analytics. |
| - Slice-and-dice multidimensional analysis. |
| - Opportunity scoring. |
| - Legal/planning risk screening. |
| - Price prediction. |
| - What-if simulation and payback analysis. |
| - 5-10 year multi-scenario projection. |
| - Retrieval + LLM answer with citations. |
| - ETL manual/scheduled/incremental. |
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| ## Slide 6: Demo Flow |
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| 1. Executive Dashboard. |
| 2. Market Intelligence. |
| 3. Slice & Dice Analysis. |
| 4. Investment Strategy. |
| 5. GIS Map. |
| 6. Data Pipeline. |
| 7. Price Prediction. |
| 8. Legal/Planning RAG. |
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| ## Slide 7: Results |
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| - Top opportunity districts. |
| - ROI and price/m² comparison. |
| - Prediction result with MAE/R². |
| - What-if future value, ROI, payback period, scenario projection. |
| - RAG response with sources. |
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| ## Slide 8: Information Systems Mapping |
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| - MIS: reporting dashboards. |
| - DSS: prediction and recommendation. |
| - EIS: executive overview. |
| - TPS: transaction-proxy fact table. |
| - KWS: RAG/LLM knowledge assistant. |
| - OAS: reports, citations, demo documents. |
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| ## Slide 9: Conclusion |
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| - PropertyVision supports data-driven investment decisions. |
| - The system integrates market, map, ETL, planning/legal context and AI. |
| - It is ready to replace public/cached sources with enterprise official data. |
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| ## Slide 10: Rubric Checklist |
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| - Problem description. |
| - Method/tool/algorithm description. |
| - Application demo. |
| - Visualization and explanation. |
| - Conclusion. |
| - Presentation/demo quality. |
| - Clear delivery. |
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