ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR GENERATING LAND RESPONSES FROM BIOLOGICAL EXTRACTIONS

1 . An artificial intelligence system for generating land responses from biological extractions, the system comprising a computing device, the computing device designed and configured to:

retrieve a biological extraction pertaining to a user, wherein the biological extraction contains at least an element of physiological data;

locate a land descriptor wherein the land descriptor identifies a property;

generate a land machine-learning model, wherein generating the land machine-learning model comprises training the land machine-learning model with training data correlating biological extractions to property elements of a property, wherein the land machine-learning model receives the biological extraction and the land descriptor as an input and outputs property elements;

receive a user property preference;

determine suitability of the property utilizing the output property elements and the user property preference, wherein determining suitability comprises generating a property preference classifier configured to correlate the output property elements to a user property preference; and

locate, as function of the property preference classifier, a property that is suitable for the user based on the output property elements and the user property preference.

2 . The system of claim 1 , wherein computing device is further configured to identify environmental toxins related to the property.

3 . The system of claim 1 , wherein computing device is further configured to identify air quality related to the property.

4 . The system of claim 1 , wherein the system is further configured to determine suitability of the property for a group of users.

5 . The system of claim 1 , wherein the land descriptor comprises a weather condition related to the property.

6 . The system of claim 1 , wherein the land descriptor comprises a historical record related to the property.

7 . The system of claim 1 , wherein the land descriptor is located as a function of a user geolocation.

8 . The system of claim 1 , wherein the computing device is further configured to locate the land descriptor using a land classifier that utilizes the biological extraction as an input and outputs a land descriptor.

9 . The system of claim 1 , wherein the computing device is further configured to:

identify an output property element that indicates the property is not suitable for the user; and

locate a property that is suitable for the user.

10 . The system of claim 1 , wherein the computing device is further configured to:

determine that the output property elements indicate that the property is unsuitable for the user;

recommend a neutralizer element to make the property suitable for the user based on the user's biological extraction; and

indicate a period when the neutralizer element will make the property suitable for the user.

11 . A method for generating land responses from biological extractions, the method comprising:

retrieving, by a computing device, a biological extraction pertaining to a user, wherein the biological extraction contains at least an element of physiological data;

locating, by the computing device, a land descriptor wherein the land descriptor identifies a property;

generating, by the computing device, land machine-learning model, wherein generating the land machine-learning model comprises training the land machine-learning model with training data correlating biological extractions to property elements of a property, wherein the land machine-learning model receives the biological extraction and the land descriptor as an input and outputs property elements;

receiving, by the computing device, a user property preference;

determining, by the computing device, suitability of the property utilizing the output property elements and the user property preference, wherein determining suitability comprises generating a property preference classifier configured to correlate the output property elements to a user property preference; and

locating, by the computing device, as function of the property preference classifier, a property that is suitable for the user based on the output property elements and the user property preference.

12 . The method of claim 11 , wherein determining, by the computing device, suitability of the property further comprises identifying environmental toxins related to the property.

13 . The method of claim 11 , wherein determining, by the computing device, suitability of the property further comprises identifying air quality related to the property.

14 . The method of claim 11 , wherein determining, by the computing device, suitability of the property further comprises determining the suitability of the property for a group of users.

15 . The method of claim 11 , wherein the land descriptor comprises a weather condition related to the property.

16 . The method of claim 11 , wherein the land descriptor comprises a historical record related to the property.

17 . The method of claim 11 , wherein the land descriptor is located as a function of a user geolocation.

18 . The method of claim 11 , wherein locating the land descriptor further comprises using a land classifier that utilizes the biological extraction as an input and outputs a land descriptor.

19 . The method of claim 11 , wherein determining, by the computing device, suitability of the property further comprises:

identifying an output property element that indicates the property is not suitable for the user; and

locating a property that is suitable for the user.

20 . The method of claim 11 , wherein determining, by the computing device, suitability of the property further comprises:

determining that the output property elements indicate that the property is unsuitable for the user;

recommending a neutralizer element to make the property suitable for the user based on the user's biological extraction; and

indicating a period when the neutralizer element will make the property suitable for the user.