Real estate artificial intelligence models, systems, and methods
View Patent ↗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.
1. 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.
2. The system of claim 1 , wherein the profitability or income metric comprises a rental income metric.
3. The system of claim 1 , wherein the profitability or income metric comprises a rental yield.
4. The system of claim 1 , further configured for:
displaying, using one or more graphical user interfaces (GUIs), a map associated with the first region.
5. The system of claim 4 , wherein the map comprises:
a first element or icon representing a first property location at a property address;
one or more streets surrounding the property address.
6. The system of claim 1 , wherein the profitability or income metric comprises a price and/or market price of a property in the first region.
7. The system of claim 1 , wherein the one or more factors comprise:
an area of interest.
8. 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.
9. The non-transitory computer-readable medium of claim 8 , wherein the profitability or income metric comprises a rental income metric.
10. The non-transitory computer-readable medium of claim 8 , wherein the profitability or income metric comprises a rental yield.
11. The non-transitory computer-readable medium of claim 8 storing instructions that, when executed by the at least one processor, further cause the system to:
display, using one or more graphical user interfaces (GUIs), a map associated with the first region.
12. The non-transitory computer-readable medium of claim 11 , wherein the map comprises:
a first element or icon representing a first property location at a property address;
one or more streets surrounding the property address.
13. The non-transitory computer-readable medium of claim 8 , wherein the profitability or income metric comprises a price and/or market price of a property in the first region.
14. 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.
15. The method of claim 14 , wherein the profitability or income metric comprises a rental income metric.
16. The method of claim 14 , wherein the profitability or income metric comprises a rental yield.
17. The method of claim 14 , further comprising:
displaying, using one or more graphical user interfaces (GUIs), a map associated with the first region.
18. The method of claim 14 , wherein the map comprises:
a first element or icon representing a first property location at a property address;
one or more streets surrounding the property address.
19. The method of claim 14 , wherein the profitability or income metric comprises a price and/or market price of a property in the first region.
20. The method of claim 14 , wherein the one or more factors comprise:
an area of interest.