Collaborative secure loan dataset platform
AssigneePentech, LLC
InventorTod A. Ruble
Life of this patent
Estimating the term…
Abstract
Embodiments herein recite a method including displaying, by a 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, a computer model using at least one attribute of a user to simulate one or more scenarios in which the triggering employment status is modified; and dynamically revising, by the server, the graphical user interface to display data associated with at least one scenario simulating at least one modification of the triggering employment status.
Claims20
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.
A system comprising:
- a non-transitory machine-readable memory configured to store a set of instructions that when executed, cause a processor to:
- generate 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;
- train 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;
- display an input element on a graphical user interface configured to instruct the processor to generate a secure loan dataset having a triggering employment status attribute that causes the processor to execute a transaction associated with the secure loan dataset;
- receive a negative selection associated with the input element;
- execute 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 revise the graphical user interface to display data associated with the at least one scenario simulating at least one modification of the triggering employment status.
Dependencies are inferred from the claim text.