EstateVision

EstateVision is a Streamlit property-intelligence prototype for area-level valuation, market comparison, and future-value scenarios.

Current capabilities

• Loads and validates the property workbook.
• Cleans known locality-name issues and parses price ranges.
• Estimates current property value from area and average price per square foot.
• Separates nominal future value from value expressed in today's money.
• Provides interactive market charts and diagnostic views.
• Keeps the legacy inflation artifact available for inspection, but does not use it as the primary property-price model.

Run locally

pip install -r requirements.txt
python -m streamlit run app.py

The application expects pythonproj.xlsx in the project root. The legacy .pkl files are optional and are only shown in the Diagnostics page when present.

Project structure

app.py                    Streamlit UI and page routing
estatevision/data.py      Data loading, normalization, and validation
estatevision/valuation.py Valuation and scenario calculations
estatevision/modeling.py  Property-model data readiness checks
tests/test_core.py        Core calculation and data-loading tests
pythonproj.xlsx           Current area-level source data

Important modelling note

The current workbook contains area averages rather than individual property transactions. The application therefore presents scenario-based estimates, not production-grade property predictions. The next modelling milestone is to add property-level historical data, then train and validate a model using time- and geography-aware splits.