File size: 2,255 Bytes
be577c4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | # PropertyVision Presentation Outline
## Slide 1: Title
PropertyVision BI - Real Estate Decision Intelligence
## Slide 2: Problem
- 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.
## Slide 3: Data
- `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.
## Slide 4: Architecture
- Frontend: React + Recharts + Leaflet.
- Backend: FastAPI.
- Storage: SQLite.
- ML: Random Forest.
- RAG: sentence-transformers + NearestNeighbors.
- LLM: Ollama local model.
## Slide 5: Method
- 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.
## Slide 6: Demo Flow
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.
## Slide 7: Results
- 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.
## Slide 8: Information Systems Mapping
- 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.
## Slide 9: Conclusion
- 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.
## Slide 10: Rubric Checklist
- Problem description.
- Method/tool/algorithm description.
- Application demo.
- Visualization and explanation.
- Conclusion.
- Presentation/demo quality.
- Clear delivery.
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