Granted Patent B2

US 12,573,313 · App. 18/122,340 · Granted Mar 10, 2026

Inventor: Michael Everest (Los Angeles, CA)

G09B7/00H04L67/306H04L67/535

Abstract

Claims (58)

1 . An apparatus for generating an educational action datum using machine-learning, the apparatus comprising:

at least a processor; and

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

receive user data pertaining to a user, and a Non-Fungible Token (NFT) derived from a web crawler, wherein the web crawler is generated by the at least a processor and scrapes the user data from a plurality of NFTs and is configured to detect at least one data pattern comprising an education strategy correlated to the user data;

generate a virtual avatar using a virtual avatar model as a function of at least a user data item, wherein the virtual avatar comprises at least a personalized characteristic of the user, wherein generating the virtual avatar comprises:

training the virtual avatar model using virtual avatar training data, wherein the virtual avatar training data comprises a plurality of pre-existing virtual avatars from a virtual avatar database;

extracting the at least a user data item from the user data; and

generating the virtual avatar as a function of the entity data;

generate an educational obstacle machine-learning model using an educational machine-learning module;

determine an educational obstacle datum as a function of the user data using the educational obstacle machine-learning model, wherein the educational obstacle machine-learning model is trained using educational obstacle training data, wherein the educational obstacle training data comprises a plurality of user data sets correlated to a plurality of educational obstacle data, wherein training the educational obstacle machine-learning model comprises:

iteratively updating the training data as a function of an adjusted input and a desired output of the educational obstacle machine-learning model;

retraining the educational obstacle machine-learning model using the updated training data; and

determining the educational obstacle datum using the trained educational obstacle machine-learning model;

generate an educational action datum for the user as a function of the educational obstacle datum, wherein the educational action datum comprises at least an educational action datum waypoint; and

instantiate, in a user interface, the virtual avatar, wherein the virtual avatar comprises at least a base image and a plurality of animations of the base image, wherein the virtual avatar is configured to:

receive the educational action datum, wherein the educational action datum is communicated to the virtual avatar using blockchain technology; and

display an animation of the plurality of animations as a function of the educational action datum.

2 . The apparatus of claim 1 , wherein the user data comprises virtual activity data and actual activity data pertaining to the user.

3 . The apparatus of claim 2 , wherein receiving the user data comprises:

receiving the actual activity data from a user profile pertaining to the user.

4 . The apparatus of claim 1 , wherein the educational obstacle datum comprises at least an educational obstacle category associated with the educational obstacle datum.

5 . The apparatus of claim 4 , wherein determining the educational obstacle datum comprises:

generating an educational obstacle classifier using the educational machine-learning module;

classifying the user data into the at least an educational obstacle category using the educational obstacle classifier; and

determining the educational obstacle datum as a function of the at least an educational obstacle category.

6 . The apparatus of claim 1 , wherein generating the educational action datum comprises:

training an educational action machine-learning model with educational action training data using the educational machine-learning module, wherein the educational action training data comprises a plurality of educational obstacle data correlated to a plurality of educational action data; and

generating the education action datum as a function of the trained educational action machine-learning model.

7 . The apparatus of claim 1 , wherein the at least an educational action datum waypoint comprises a user-oriented assignment.

8 . The apparatus of claim 1 , wherein the educational action datum comprises at least a waypoint response associated with the at least an educational action datum waypoint.

9 . A method for generating an educational action datum using machine-learning, the method comprising:

receiving, by at least a processor, user data pertaining to a user and a Non-Fungible Token (NFT) derived from a web crawler, wherein the web crawler is generated by the at least a processor and scrapes the user data from a plurality of NFTs and is configured to detect at least one data pattern comprising an education strategy correlated to the user data;

generating a virtual avatar using a virtual avatar model as a function of at least a user data item, wherein the virtual avatar comprises at least a personalized characteristic of the user, wherein generating the virtual avatar comprises:

training the virtual avatar model using virtual avatar training data, wherein the virtual avatar training data comprises a plurality of pre-existing virtual avatars from a virtual avatar database;

extracting the at least a user data item from the user data; and

generating the virtual avatar as a function of the entity data;

generating, by the at least a processor, an educational obstacle machine-learning model using an educational machine-learning module;

determining, by the at least a processor, an educational obstacle datum as a function of the user data using the educational obstacle machine-learning model, wherein the educational obstacle machine-learning model is trained using educational obstacle training data, wherein the educational obstacle training data comprises a plurality of user data sets correlated to a plurality of educational obstacle data, wherein training the educational obstacle machine-learning model comprises:

iteratively updating the training data as a function of an adjusted input and a desired output of the educational obstacle machine-learning model;

retraining the educational obstacle machine-learning model using the updated training data; and

determining the educational obstacle datum using the trained educational obstacle machine-learning model;

generating, by the at least a processor, an educational action datum for the user as a function of the educational obstacle datum, wherein the educational action datum comprises at least an educational action datum waypoint; and

instantiating, in a user interface, the virtual avatar, wherein the virtual avatar comprises at least a base image and a plurality of animations of the base image, wherein the virtual avatar is configured to:

receive the educational action datum, wherein the educational action datum is communicated to the virtual avatar using blockchain technology; and

display an animation of the plurality of animations as a function of the educational action datum.

10 . The method of claim 9 , wherein the user data comprises virtual activity data and actual activity data pertaining to the user.

11 . The method of claim 10 , wherein receiving the user data comprises:

receiving the actual activity data from a user profile pertaining to the user.

12 . The method of claim 9 , wherein the educational obstacle datum comprises at least an educational obstacle category associated with the educational obstacle datum.

13 . The method of claim 12 , wherein determining the educational obstacle datum comprises:

generating an educational obstacle classifier using the educational machine-learning module;

classifying the user data into the at least an educational obstacle category using the educational obstacle classifier; and

determining the educational obstacle datum as a function of the at least an educational obstacle category.

14 . The method of claim 9 , wherein generating the educational action datum comprises:

training an educational action machine-learning model with educational action training data using the educational machine-learning module, wherein the educational action training data comprises a plurality of educational obstacle data correlated to a plurality of educational action data; and

generating the education action datum as a function of the trained educational action machine-learning model.

15 . The method of claim 9 , wherein the at least an educational action datum waypoint comprises a user-oriented assignment.

16 . The method of claim 9 , wherein the educational action datum comprises at least a waypoint response associated with the at least an educational action datum waypoint.

Continuity (1)

References Cited (23)