Patent ID: 11942207
Assignee: KPN INNOVATIONS LLC
Field: Chemical engineering (Chemistry)
Classification: CPC G  B  Y | IPC B  G

Claim 0:
1. An artificial intelligence system for generating zoological instruction sets from biological extractions, the system comprising a computing device, the computing device designed and configured to:
retrieve a biological extraction pertaining to an animal, wherein the biological extraction comprises a metabolic rate test result that indicates the animal's resting metabolic rate;
generate a zoological classifier wherein the zoological classifier utilizes the biological extraction as an input and outputs a zoological profile, wherein generating the zoological classifier comprises training the zoological classifier with training data, wherein the training data comprises biological extraction data correlated to zoological profile data;
receive a zoological input from a remote device wherein the zoological input identifies a zoological habit;
select a zoological machine-learning model of a plurality of zoological machine-learning models utilizing the zoological input and the zoological profile, wherein:
the zoological machine-learning model comprises a supervised machine learning model;
the zoological machine-learning model utilizes the zoological input and the zoological profile as inputs and outputs a correlated zoological instruction set; and
selecting the zoological machine-learning model comprises:
generating an input classifier;
training the input classifier using input classifier training data comprising a plurality of zoological input data and a plurality of zoological profile data correlated to a plurality of corresponding zoological machine-learning model data;
classifying the zoological input and the zoological profile to the zoological machine-learning model of the plurality of zoological machine-learning model using the trained input classifier; and
selecting the zoological machine-learning model from the plurality of zoological machine-learning models using the trained input classifier and the classification;

train the selected zoological machine-learning model using zoological machine-learning model training data comprising a plurality of zoological input data set and a plurality of zoological profile data set correlated to a plurality of zoological instruction sets;
output the zoological instruction set utilizing the trained selected zoological machine-learning model;
receive an instruction set input from a remote device;
compare the instruction set input and the zoological instruction set; and
update the zoological instruction set as a function of the comparison utilizing the trained selected zoological machine learning model.