Patent ID: 11887226
Assignee: CAPITAL ONE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for visual content generation using machine learning, the system comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, configured to:
input into a machine learning model:
text received from a user,
a category of content for at least one template that is to be used with the text, and
a sentiment associated with the at least one template,
wherein the machine learning model was trained using a set of observations specific to an organization associated with the text, the set of observations including at least a feature associated with sentiment detection and a feature associated with a content category, and
wherein the machine learning model was refined using input specific to a portion of the organization;

receive, from the machine learning model, a recommendation indicating one or more images, one or more colors, and one or more logos to use with the text in populating the at least one template in association with the portion of the organization, wherein the one or more images, the one or more colors, and the one or more logos are retrieved from a database associated with the organization, and wherein the machine learning model uses at least natural language processing (NLP) and sentiment detection to parse the text;
select, based on output from the machine learning model, the at least one template associated with the portion of the organization; and
populate the at least one template using the one or more images, the one or more colors, the one or more logos, and the text.