Abstract: The present invention provides a machine learning-based system designed to automatically generate and associate classes or videos offered on an educational platform with topic tags. The machine learning-based system leverages both extractive and predictive topic tagging techniques: extractive tagging identifies relevant topics directly from content, while predictive tagging uses machine learning models trained on pre-tagged content to predict relevant topics for new content. This dual approach ensures both accuracy and comprehensiveness in tagging.