Real estate artificial intelligence models, systems, and methods
OwnerShawn Josephinventor
Life of this patent
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Abstract
One or more graphical user interfaces (GUIs) and/or a console management, modeling, and analysis system is described. In some embodiments, the GUI and/or management system can be used to analyze investment purchases and/or sales. In some embodiments, users may be allowed to enter data used to produce dynamic models. In some embodiments, data may be aggregated from various users and/or sources to provide adaptive, dynamic models and/or projections.
Claims20
A system for analyzing one or more real estate deals or investments, the system comprising:
- at least one memory;
- one or more processors in communication with the memory;
- at least one database or data storage device;
- the system configured for:
- aggregating a first set of data associated with a first set of single family properties;
- wherein, the first set of data comprises historical data associated with the first set of single family properties;
- storing, using the at least one database or data storage device, the first set of data;
- making the first set of data available for modeling;
- pre-training or training one or more artificial intelligence models using first set of data;
- receiving one or more factors from a first user, wherein the one or more factors comprise:
- a zip code;
- identifying a first region;
- identifying a first set of regional data associated with the first region;
- and
- using the first set of regional data and the one or more artificial intelligence models, determining a profitability or income metric.
A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause a system to:
- aggregate a first set of data associated with a first set of single family properties;
- wherein, the first set of data comprises historical data associated with the first set of single family properties;
- store, using at least one database or data storage device, the first set of data;
- make the first set of data available for modeling;
- pre-train or train one or more artificial intelligence models using first set of data;
- receive one or more factors from a first user, wherein the one or more factors comprise;
- a zip code;
- identify a first region;
- identify a first set of regional data associated with the first region;
- and
- using the first set of regional data and the one or more artificial intelligence models, determine a profitability or income metric.
A method comprising:
- aggregating a first set of data associated with a first set of single family properties;
- wherein, the first set of data comprises historical data associated with the first set of single family properties;
- storing, using at least one database or data storage device, the first set of data;
- making the first set of data available for modeling;
- pre-training or training one or more artificial intelligence models using first set of data;
- receiving one or more factors from a first user, wherein the one or more factors comprise:
- a zip code;
- identifying a first region;
- identifying a first set of regional data associated with the first region;
- and
- using the first set of regional data and the one or more artificial intelligence models, determining a profitability or income metric.
Dependencies are inferred from the claim text.