Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: Features described herein generally relate to automatically positioning insights in spatial locations of a graphical user interface page based on rules. Particularly, insights associated with transactions are received, spatial locations within a graphical user interface page that are designated for displaying insights are determined, a subset of spatial locations for positioning the insights are selected based on the insights and rules, and a graphical user interface with the insights spatially positioned at the subset of spatial locations is generated.

Abstract: Some examples described herein relate to automatically configuring an insight carousel of a graphical user interface based on templates. In one example, a system can receive templates and insights associated with transactions, populate fields within each template using information associated with the insights, and generate a graphical user interface including an image carousel having slides incorporating the populated templates.

Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: An application-programming interface for scraping data across platforms is provided. For example, a computing system use an application programming interface to scrape a first set of data from a first database associated with a first application and a second set of data from a second database associated with a second application. The computing system can determine a portion of the first set of data and the second set of data that is relevant to a user account. The computing system can generate a user score for the user account indicating a financial health progress based on the first set of data and the second set of data. The computing system can output the portion of the first set of data and the second set of data and the user score for display on a graphical user interface associated with the user account.

Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: Features described herein generally relate to automatically positioning insights in spatial locations of a graphical user interface page based on rules. Particularly, insights associated with transactions are received, spatial locations within a graphical user interface page that are designated for displaying insights are determined, a subset of spatial locations for positioning the insights are selected based on the insights and rules, and a graphical user interface with the insights spatially positioned at the subset of spatial locations is generated.

Abstract: Some examples described herein relate to automatically configuring an insight carousel of a graphical user interface based on templates. In one example, a system can receive templates and insights associated with transactions, populate fields within each template using information associated with the insights, and generate a graphical user interface including an image carousel having slides incorporating the populated templates.

Abstract: Features described herein generally relate to a graphical user interface that includes an insight hub and an insight carousel. In one example, a system can receive insights associated with transactions, generate an image carousel that includes slides populated with information associated with the insights, and generate another interface page that includes insight listings corresponding to multiple insights.

Abstract: Using a trained machine learning model for modifying word structures in financial literacy content based on age is provided. For example, a computing system can determine a first reading comprehension level for a set of financial literacy content. The set of financial literacy content can include sentences. The computing system can input the sentences into a trained machine learning model. The computing system can receive one or more updates to the sentences from the trained machine learning model. The computing system can generate an updated set of financial literacy content based on the one or more updates to the sentences. The one or more updates to the sentences can have a second reading comprehension level that is different than the first reading comprehension level. The computing system can output the updated set of financial literacy content as a graphical user interface to a user device associated with a user account.

Abstract: Using machine learning for determining financial literacy content based on life stages is provided. For example, a computing system can determine a first stage of life associated with a first set of financial literacy content for a user account. The computing system can input a set of user characteristics associated with a user of the user account into a trained machine learning model. The computing system can receive, from the trained machine learning model, a second stage of life associated with the user. The second stage of life can be different than the first stage of life. The computing system can determine a second set of financial literacy content based on the second stage of life. The computing system can output, to a user device associated with the user account, the updated set of financial literacy content for display as a graphical user interface.

Abstract: A virtual reality environment for teaching children about money is provided. For example, a computing system can generate a virtual reality environment associated with a child user account linked to a parent user account. The virtual reality environment can include an interactive gaming element. The computing system can output the virtual reality environment to a user device associated with the child user account. The computing system can receive, from the user device, an input for the interactive gaming element. The computing system can determine, based on the input, an update to a financial balance in the child user account. The computing system can output, to the user device, the update to the financial balance for display in the virtual reality environment.

Abstract: An application-programming interface for scraping data across platforms is provided. For example, a computing system use an application programming interface to scrape a first set of data from a first database associated with a first application and a second set of data from a second database associated with a second application. The computing system can determine a portion of the first set of data and the second set of data that is relevant to a user account. The computing system can generate a user score for the user account indicating a financial health progress based on the first set of data and the second set of data. The computing system can output the portion of the first set of data and the second set of data and the user score for display on a graphical user interface associated with the user account.