Patent ID: 11924200
Assignee: AESTHETICS CARD, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 9:
10. A method for classifying a user to an electronic authentication card, the method comprising:
receiving, by the at least a processor, user data including transaction history;
identifying, by the at least a processor, a plurality of authentication card parameters as a function of user input, wherein identifying the plurality of authentication card parameters comprises generating an activity threshold parameter using a feature learning algorithm;
determining a plurality of access rights as a function of user data and the plurality of authentication card parameters, wherein determining the plurality of access rights includes:
utilizing a machine-learning model, wherein generating the machine-learning model comprises:
receiving training data, wherein the training data comprises user data and authentication card parameter inputs and the plurality of access rights outputs;
training the machine-learning model as a function of the training data;
determining, by the machine learning model, as a function of the user data and authentication card parameters, the access rights; and
receiving updated user data; and
determining an updated plurality of access rights as a function of the machine learning model and the updated user data; and

determining a score based on a minimized objective function; and

generating an access pairing data structure linking the plurality of access rights to the authentication card.