Abstract: Techniques for content generation using machine learning. A device may access textual content from a user device associated with a user profile, access content preferences associated with the user profile, and provide the textual content to a classification model to identify one or more topics of the textual content. The classification model may be trained to identify topics within text. The device may access, from a content repository, supplementary textual content associated with the one or more topics; form, based on the content preferences, an instruction prompt for a generative model; and provide the topics, the textual content, and the supplementary textual content to the generative model to obtain additional content. The device may identify, from the user profile, one or more additional user profiles having a relationship with the user profile; and provide the additional content to an external server.