| CPC G06Q 50/165 (2013.01) [G06F 3/04817 (2013.01); G06F 16/2423 (2019.01); G06F 16/24575 (2019.01); G06F 16/24578 (2019.01); G06F 16/29 (2019.01)] | 12 Claims |

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1. A system for automating and analyzing land use utility through a standardized classification model leveraging supervised machine learning, comprising:
a graphical user interface receiving request from a user or by auto command for a standardized land use utility query, including identifying a location or locations and at least one land use utility category from the standardized land use utility classifier list;
a database storage for a plurality of data stores comprising zoning and/or future land use data, with one or more location boundaries;
a processor receiving data from data stores and executing instructions to standardize a plurality of data sets using the standardized land use utility classifier list wherein the processor standardizes one or more zoning districts and/or future land use designators using one or more classifiers from the standardized land use utility classifier list;
the processor using one or more algorithms trained using one or more structured datasets as truth data and the use of a feedback loop to analyze and/or review and/or test and/or report results identifying patterns used to build one or more models applied to one or more data stores; and
the graphical user interface receiving and displaying results from the processor of the standardized land use utility query using the standardized classification model.
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