US 12,361,483 B2
Collaborative secure loan dataset platform
Tod A. Ruble, Dallas, TX (US)
Assigned to Pentech, LLC, Dallas, TX (US)
Filed by Pentech, LLC, Dallas, TX (US)
Filed on Apr. 27, 2023, as Appl. No. 18/140,564.
Claims priority of provisional application 63/335,572, filed on Apr. 27, 2022.
Prior Publication US 2023/0351496 A1, Nov. 2, 2023
Int. Cl. G06Q 40/03 (2023.01); G06Q 10/1057 (2023.01)
CPC G06Q 40/03 (2023.01) [G06Q 10/1057 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
generating, by a server, a training dataset comprising data corresponding to a set of participants associated with a set of secure loan datasets, a set of employment data, and a set of employment scenarios;
training, by the server, a machine learning model using the training dataset, such that the machine learning model is configured to predict a likelihood of at least one triggering employment status in accordance with a predicted employment scenario within the set of employment scenarios;
displaying, by server, an input element on a graphical user interface configured to instruct the server to generate a secure loan dataset having a triggering employment status attribute that causes the server to execute a transaction associated with the secure loan dataset;
receiving, by the server, a negative selection associated with the input element;
executing, by the server, the machine learning model using at least one attribute of a user interacting with the input element to predict a likelihood of at least one triggering employment status for the user and at least one scenario in which the triggering employment status is modified; and
dynamically revising, by the server, the graphical user interface to display data associated with the at least one scenario simulating at least one modification of the triggering employment status.