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;

determine suitability of the property utilizing the output property elements;

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;

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

update the land machine-learning model by training the land machine-learning model with the biological extraction as an input and the suitable property as an output.

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

3. The system of claim 1 , wherein the land descriptor is located as a function of a user questionnaire response wherein the user questionnaire response contains user preferences relating to an ideal land descriptor.

4. The system of claim 1 , wherein the land descriptor contains an inquiry describing a specified address.

5. The system of claim 1 , wherein the land descriptor contains an inquiry describing a geographical location.

6. 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.

7. 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.

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

compare the output property elements to stored user property preferences; and

locate a property that is suitable for the user based on the output property elements and the stored user property preferences.

9. The system of claim 1 , wherein the computing device is further configured to update the land machine-learning model utilizing the determined suitability of the property.

10. An artificial intelligence method of 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, a land machine-learning model, wherein the land machine-learning model utilizes the biological extraction and the land descriptor as an input and outputs property elements; and

determining, by the computing device, the suitability of the property utilizing the output property elements;

determining the output property elements indicate the unsuitability of the property 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.

11. The method of claim 10 , wherein locating the land descriptor further comprises locating the land descriptor as a function of a user geolocation.

12. The method of claim 10 , wherein locating the land descriptor further comprises locating the land descriptor utilizing a user questionnaire response wherein the user questionnaire response contains user preferences in response to an ideal land descriptor.

13. The method of claim 10 , wherein the land descriptor further comprises an inquiry describing a specified address.

14. The method of claim 10 , wherein the land descriptor further comprises an inquiry describing a geographical location.

15. The method of claim 10 , wherein locating the land descriptor further comprises generating a land classifier that utilizes the biological extraction as an input and outputs a land descriptor.

16. The method of claim 10 , wherein determining the 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.

17. The method of claim 10 , wherein determining the suitability of the property further comprises:

comparing the output property elements to stored user property preferences; and

locating a property that is suitable for the user based on the output property elements and the stored user property preferences.

18. The method of claim 10 further comprising updating the land machine-learning model utilizing the determined suitability of the property.