Citigroup, Inc.

Misty Stiers

Miriam Silver

Christopher James Byrne

Kirk M Lewis, Ii

A system or technique can provide a graphical user interface (GUI) with input elements, each associated with different attributes of an individual to be depicted in a computer-implemented presentation. The system receives input data based on user interaction with a GUI input element and queries a database containing image metadata linked to a set of images. These images are collected based on metrics from prior presentations, and the metadata includes classification information provided by the individuals depicted. The system locates data in the metadata corresponding to the user input, identifies additional relevant data, and renders a second GUI input element based on this data. It then locates and retrieves an image from the set of images using the metadata, displaying the image in the GUI.

Graphical user interface to adjust image selection based on classification information

A system or technique can analyze metadata from a first set of images using a neural network to identify classification information about individuals depicted in the images. The system generates data based on this classification information, including attributes of the individuals, and compares this data against predefined criteria for image presentations. If any attributes are found to be non-compliant with the criteria, the system queries a database of second image metadata linked to a set of images. This database includes data generated from prior presentations and classification information provided by individuals depicted in the images. The system locates compliant attributes in the second image metadata, retrieves an image linked to these compliant attributes, and modifies a presentation to include the retrieved image.

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Misty Stiers