Editing AI for Real Estate (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Automated Valuation Model (AVM)''' — A statistical or ML model estimating property market value from features; used by Zillow (Zestimate), banks, appraisers.
* '''Zestimate''' — Zillow's proprietary AVM; estimates for 100M+ US homes with median error rate ~2.4%.
* '''Hedonic pricing''' — Decomposing property value into contributions of individual features (bedrooms, location, age); foundational AVM model.
* '''Comparable sales (comps)''' — Recent nearby sales of similar properties; the traditional basis for appraisals; ML systematizes their use.
* '''iBuyer''' — Companies (Opendoor, Offerpad) using AI to instantly purchase homes; requires highly accurate AVMs.
* '''Cap rate (capitalization rate)''' — Net operating income / property value; key investment metric.
* '''Location intelligence''' — Using geospatial data (walkability, school ratings, crime, amenities) as features for property ML models.
* '''Computer vision (property)''' — Using CV to assess property condition, count rooms, detect renovations from listing photos.
* '''Natural language processing (listings)''' — NLP on property descriptions to extract features and sentiment.
* '''Market segmentation''' — Clustering properties or markets into homogeneous segments for targeted analysis.
* '''Time series forecasting (real estate)''' — Predicting future home prices, rent levels, or vacancy rates.
* '''Mortgage underwriting AI''' — ML models assessing borrower creditworthiness beyond traditional FICO scores.
* '''Property search personalization''' — Recommending properties to buyers based on their search behavior and preferences.
* '''Construction AI''' — Computer vision for construction site monitoring, progress tracking, and safety compliance.
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