The invention is suitable for the technical field of science popularization content interaction, and particularly relates to a personalized science popularization
content generation method and
system based on a user portrait and real-time feedback, and the method comprises the steps: obtaining personnel
information data, and constructing a user portrait
database and a science popularization
database; during interaction, identifying the personnel, determining the identity of the interaction personnel, performing content screening, generating science popularization data framework display content for a user to select, and obtaining a selection result; calling corresponding data contents, generating prompt words, generating corresponding science popularization information, and displaying the science popularization information; feedback information is obtained in real time, and follow-up science popularization information is dynamically adjusted. According to the method, the content framework of the
cognitive level is matched for the user based on the accurate portrait, the personalized narration is dynamically generated by utilizing the large
language model, the interest focus is locked through
sight tracking, and the understanding degree is judged through expression recognition, so that the real-time dynamic adjustment of the content is realized, and the pertinence, interactivity and user experience of science popularization are remarkably improved.