Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention generally relates to a makeup brush cleaner and sanitizer. Specifically, embodiments of the present invention relate to an apparatus configured to hold multiple cosmetics or other makeup type brushes in specifically designed retention means such that only the brush tips/bristles of the brushes are subject to the sanitation area of the apparatus. Certain embodiments of the present apparatus provide the sanitation area of the apparatus to clean the brush tips/bristles of the retained brushes via one or more of a cleaning solution, water, ultra-violet cleaning source, ultrasonic cleaning source, gentle agitation, or any combination thereof.

Abstract: Replicating modifications made to contents of a shared folder. As a part of replicating modifications made to contents of a shared folder, modifications made to a shared folder located on a first computer system and replicated in a second folder that is located on a second computer system are accessed from a second computer system. One or more folders are identified that are associated with the second folder and that are accessible from one or more other computer systems. The one or more folders are caused to have replicated in them modifications that were made to the shared folder.