Systems and methods for generating custom courses using machine learning

A system for updating a user interface displaying content related to a topic based on user preference, comprising:

• at least one memory;
• at least one hardware processor coupled with the at least one memory and configured, individually or in combination, to:
• receive, via a user interface (UI), a first user selection of a topic from a plurality of topics;
• retrieve content associated with the topic from a database of reference materials, wherein the content comprises text and visuals summarizing one or more reference materials from the database and is organized in a plurality of sub-topics related to the topic;
• generate, for display on the UI, the content in a default organizational scheme;
• receive, via the UI, a second user selection to organize the content in a custom organizational scheme of a preferred duration for consuming the topic;
• determine an amount of time needed by a user to consume the content in the default organization scheme;
• and
• automatically update, using machine learning, the content displayed in the UI in accordance with the custom organizational scheme by:
• adding additional content to the content when the amount of time is less than the preferred duration;
• and
• filtering out existing content from the content when the amount of time is greater than the preferred duration.

A non-transitory computer readable medium storing thereon computer executable instructions for updating a user interface displaying content related to a topic based on user preference, including instructions for:

• receiving, via a user interface (UI), a first user selection of a topic from a plurality of topics;
• retrieving content associated with the topic from a database of reference materials, wherein the content comprises text and visuals summarizing one or more reference materials from the database and is organized in a plurality of sub-topics related to the topic;
• generating, for display on the GUI, the content in a default organizational scheme;
• receiving, via the GUI, a second user selection to organize the content in a custom organizational scheme of a preferred duration for consuming the topic;
• determining, by a hardware processor, an amount of time needed by a user to consume the content in the default organization scheme;
• and
• automatically updating, using machine learning, the content displayed in the UI in accordance with the custom organizational scheme by:
• adding additional content to the content when the amount of time is less than the preferred duration;
• and
• filtering out existing content from the content when the amount of time is greater than the preferred duration.