Automated Notes and Question Generation

This research paper focuses on augmenting the process of learning a concept through the automated generation of notes and MCQs from educational videos. Our system works in three steps: (i) It transcribes and analyzes the video coupled with extracting keywords and concepts, (ii) then it generates detailed and informative notes, personalized to the video content and (iii) it creates Multiple Choice Questions (MCQs) concerning the content. The system currently uses Machine Learning algorithms and Natural Language Processing to carry out the above-mentioned. This research holds relevance for online courses, flipped classrooms, and self-directed learning along with promoting better understanding of a concept among learners.