# US 2023/0274841 A1 · Artificial intelligence systems and methods for generating land responses from biological extractions

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- Number: US 2023/0274841 A1
- Document ID: US20230274841A1
- Status: Published application
- Kind: A1
- Application number: 18/195,044
- Filed: 2023-05-09
- Published: 2023-08-31
- Earliest claimed: 2020-03-20
- Assignees: Kpn Innovations, LLC.
- Applicants: Kpn Innovations, LLC.
- Inventors: Kenneth Neumann
- Web page: https://patentgrep.com/patent/US20230274841A1

## CPC

- G16H 50/30: for calculating health indices; for individual health risk assessment
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks
- G06N 20/00: Machine learning
- G06Q 50/163: Real estate management
- Y02A 90/10: Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE

## Abstract

An artificial intelligence system for generating land responses from biological extractions. The artificial intelligence system includes a computing device, configured to retrieve, a biological extraction pertaining to a user, wherein the biological extraction contains at least an element of physiological data. The computing device is configured to locate a land descriptor wherein the land descriptor identifies a property. The computing device is configured to generate a land machine-learning model, wherein the land machine-learning model utilizes the biological extraction as an input and outputs property elements. The computing device is configured to determine the suitability of the property utilizing the output property elements.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

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

### Claim 3 (depends on 1)

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

### Claim 4 (depends on 1)

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

### Claim 5 (depends on 1)

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

### Claim 6 (depends on 1)

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

### Claim 7 (depends on 1)

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

### Claim 8 (depends on 1)

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.

### Claim 9 (depends on 1)

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.

### Claim 10 (depends on 1)

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.

### Claim 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.

### Claim 12 (depends on 11)

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

### Claim 13 (depends on 11)

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

### Claim 14 (depends on 11)

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.

### Claim 15 (depends on 11)

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

### Claim 16 (depends on 11)

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

### Claim 17 (depends on 11)

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

### Claim 18 (depends on 11)

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.

### Claim 19 (depends on 11)

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.

### Claim 20 (depends on 11)

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.