# How a Machine Learning Model Predicts Your Home's Health Score > This patent describes using machine learning to analyze home data and predict a 'home score' based on the age and health of key components. - **Patent:** US 12737817 - **Original title:** Systems and methods for generating a home score and modifications for a user - **Granted:** 2026 - **Status:** Active - **Times cited:** 0 - **Field:** consumer_electronics, software, ai_ml, finance, real_estate ## What it does This patent outlines a system that takes in data about your home, like information from smart devices (telematics data), and uses a machine learning model to figure out how old different parts of your house are. It focuses on components that affect the structural integrity, like the roof or foundation. Based on this age information, it calculates a 'home health indicator' and then generates an overall 'home score' for the property. For example, if the system detects that your HVAC system is very old based on its usage patterns, this would contribute to a lower home health indicator and thus a lower home score. ## What it does NOT cover - Does not cover scores based on market value or neighborhood statistics. - Does not cover systems that only analyze financial data about the home. - Does not cover methods that do not use machine learning to determine component age. - Does not cover health indicators unrelated to component age. - Does not cover systems that do not generate a specific 'home score'. ## The clever bit The novelty lies in using machine learning to infer the age and health of structural components from indirect telematics data, creating a predictive health score rather than relying solely on direct inspection or known installation dates. ## Real-world examples 1. Smart home monitoring systems 2. Home insurance risk assessment tools 3. Property valuation platforms ## Why it matters This technology could be valuable for homeowners, insurance companies, and potential buyers. It offers a data-driven way to assess a property's condition beyond a simple visual inspection, potentially influencing insurance premiums or sale prices. ## Frequently asked questions ### What does How a Machine Learning Model Predicts Your Home's Health Score cover? This patent describes using machine learning to analyze home data and predict a 'home score' based on the age and health of key components. ### When does this patent expire? This patent is expected to expire on September 15, 2046, when the invention enters the public domain. ### What problem does this patent solve? This technology could be valuable for homeowners, insurance companies, and potential buyers. It offers a data-driven way to assess a property's condition beyond a simple visual inspection, potentially influencing insurance premiums or sale prices. ### What does this patent NOT cover? Does not cover scores based on market value or neighborhood statistics. **Full plain-English explainer:** https://patentbrief.org/patent/us/12737817/systems-and-methods-for-generating-a-home-score-and-modifications-for-a-user-12737817 **Original patent:** https://patents.google.com/patent/US12737817 --- _Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._ ## Related patents Semantically similar inventions in the PatentBrief corpus: - [How a System Scores Your Home's Maintenance and Teaches You](https://patentbrief.org/patent/us/12737818/systems-and-methods-for-generating-a-home-score-and-modifications-for-a-user) — This patent describes a system that uses machine learning to score a home's maintenance, compares it to another property, and then creates personalized learning tips for the user to help them improve their home, especially when moving. - [How to Automatically Detect and Fix Changes in AI Model Data](https://patentbrief.org/patent/us/10599957/systems-and-methods-for-detecting-data-drift-for-data-used-in-machine-learning-m) — This patent describes a system that automatically notices when the real-world data an AI model sees changes, causing its predictions to become less accurate, and then fixes the model. - [How to Check if an AI Model Has Been Tampered With](https://patentbrief.org/patent/us/11544411/machine-learning-model-validation-and-authentication) — This patent describes a method to verify the integrity and authorized use of an artificial intelligence model by feeding it a special digital key and comparing its response to a known good one. - [How to Automatically Tune Machine Learning Settings Using Smart Math](https://patentbrief.org/patent/us/11501192/alphafold-protein-structure-prediction) — A system that uses advanced statistical modeling to automatically find the best settings for complex machine learning models, saving engineers from manual trial and error. - [Improving AI Predictions by Factoring in How Much You Trust Each Model](https://patentbrief.org/patent/us/20230044102/ensemble-machine-learning-models-incorporating-a-model-trust-factor) — This patent describes a method for making an AI system more accurate by combining several individual AI models and giving more weight to the ones considered more trustworthy.