Unlike closed proprietary Black Box "Zestimates", this model executes an explicit hedonic regression decomposed into measurable linear coefficients: Baseline Metro SqFt, Lot Parcel Size, Functional Bed/Bath ratios, Year Built age depreciation curves, and Condition multipliers.
Coordinates are mapped against OpenStreetMap nodes. Amenities within walking distance (grocery stores, cafes, parks, transit stops) are distance-decay weighted using a Gaussian kernel to produce an un-biased 0-100 Walkability Index.
Public school boundaries are queried from open education records. Elementary, middle, and high school proficiency indices are normalized on a 1-10 scale and weighted with user-tunable elasticity parameters.