Granted Patent B1

US 12,316,584 · App. 18/406,463 · Granted May 27, 2025

Inventors: Barbara Sue Smith (Toronto, CA); Daniel J. Sullivan (Toronto, CA)

Assignee: The Strategic Coach Inc.

H04L51/02G06F3/013

Abstract

Claims (35)

1. An apparatus for a generation and improvement of a confidence factor, wherein the apparatus comprises:

at least one processor; and

a memory communicatively connected to the at least one processor, wherein the memory containing instructions configuring the at least one processor to:

generate a user profile for a user, wherein the user profile comprises a plurality of physiological data, wherein generating the user profile comprises generating a query comprising at least a search criteria received from the user;

generate an industrial prompt as a function of the user profile, wherein the industrial prompt comprises a staged scenario with a customizable computer-generated digital avatar configured to simulate a conversation with a user;

identify physiological response data as a function of the industrial prompt and the plurality of physiological data;

determine a confidence factor as a function of the physiological response data, wherein the confidence factor comprises a numerical score of a numerical score range that represents level of confident of the user;

generate confidence improvement data as a function of the confidence factor; and display the confidence improvement data using a display device.

2. The apparatus of claim 1 , wherein identifying the physiological response data comprises identifying the physiological response data using at least a sensor.

3. The apparatus of claim 1 , wherein the at least a sensor comprises a wearable device.

4. The apparatus of claim 1 , wherein the at least a sensor comprises an eye sensor.

5. The apparatus of claim 1 , wherein the confidence factor is represented using a numerical scale.

6. The apparatus of claim 1 , wherein determining the confidence factor comprises determining the confidence factor using a confidence machine-learning model.

7. The apparatus of claim 6 , wherein determining the confidence factor using the confidence machine-learning model comprises:

training the confidence machine-learning model using confidence training data, wherein the confidence training data contains a plurality of data entries containing the physiological response data as inputs correlated to the confidence factor as outputs; and

determining the confidence factor as a function of the physiological response data using the confidence machine-learning model.

8. The apparatus of claim 1 , wherein determining the confidence factor comprises determining the confidence factor using a fuzzy inference.

9. The apparatus of claim 1 , wherein the memory contains instructions further configuring the processor to prompt the user to respond to the industrial prompt using the customizable computer-generated digital avatar and a chatbot.

10. A method for a generation and improvement of a confidence factor, wherein the method comprises:

generating, using at least one processor, a user profile for a user, wherein the user profile comprises a plurality of physiological data, wherein generating the user profile comprises generating a query comprising at least a search criteria received from the user;

generating, using the at least the processor, an industrial prompt as a function of the user profile, wherein the industrial prompt comprises a staged scenario with a customizable computer-generated digital avatar configured to simulate a conversation with a user wherein the industrial prompt comprises a staged scenario with a customizable computer-generated digital avatar configured to simulate a conversation with a user;

identifying, using the at least one processor, physiological response data as a function of the industrial prompt and the plurality of physiological data;

determining, using the at least the processor, a confidence factor as a function of the physiological response data, wherein the confidence factor comprises a numerical score of a numerical score range that represents level of confident of the user;

generating, using the at least one processor, confidence improvement data as a function of the confidence factor; and

displaying, using a display device, the confidence improvement data.

11. The method of claim 10 , wherein the method further comprises identifying the physiological response data comprises identifying the physiological response data using at least a sensor.

12. The method of claim 10 , wherein the at least a sensor comprises a wearable device.

13. The method of claim 10 , wherein the at least a sensor comprises an eye sensor.

14. The method of claim 10 , wherein the confidence factor is represented using a numerical scale.

15. The method of claim 10 , wherein the method further comprises determining the confidence factor comprises determining the confidence factor using a confidence machine-learning model.

16. The method of claim 15 , wherein determining the confidence factor using the confidence machine-learning model comprises:

training the confidence machine-learning model using confidence training data, wherein the confidence training data contains a plurality of data entries containing the physiological response data as inputs correlated to the confidence factor as outputs; and

determining the confidence factor as a function of the physiological response data using the confidence machine-learning model.

17. The method of claim 10 , wherein the method further comprises determining, using the at least a processor, the confidence factor using a fuzzy inference.

18. The method of claim 10 , further comprising prompting, by the at least a processor, the user to respond to the industrial prompt using the customizable computer-generated digital avatar and a chatbot.

Assignments (1)

References Cited (24)