Chime Financial, Inc.

Aditya Narula

Baishi Wu

Robert Luedeman

Aoni Wang

Paola Heneine

Rakesh Vemulapally

Aaron Plante

Shashank Gadda

Matt McCormick

Akhil Naini

Brooke Fraser

Emily Bernier

Victoria Palmiotto

James Sheak

The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a machine learning model and a credit value model to generate user interface elements that present credit values and credit value conditions in real time for user accounts. For instance, the disclosed systems can generate an activity score using an activity machine learning model with internal user activity data of a user account. Then, utilizing a credit value model with the activity score and a user activity condition, the disclosed systems can determine a dynamic credit value range for the user account. Indeed, the disclosed systems can display user interface elements with selectable credit values from the dynamic credit value range. Additionally, the disclosed systems can utilize the credit value model to determine and display one or more dynamic credit value conditions for a selected credit value received from the selectable credit values.

Generating graphical user interfaces comprising dynamic credit value user interface elements determined from a credit value model

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San Jose, CA, United States of America

Aditya Narula