FlashMe: Automatic Flashcard Generation
Nikhil Nair, Shlok Pikle, Soham Save, Ryan Varghese, Kavita V. Sonawane · 2023
The task of studying and revising can be perceived as challenging due to the intricate nature of concepts presented in dense textbook material. Furthermore, it has been observed that students allocate as much as 50% of their study time towards study techniques that are deemed less effective [1]. Thus, encouraging students to employ efficient methods is important. Additionally, numerous studies have demonstrated that flashcards are an exceptionally efficient method for enhancing learning outcomes. [2]. To tackle this issue, our research indicates the utilization of various advanced Natural Language Processing models. These models would be combined to develop a multi-stage transformer architecture that enables the automated creation of flashcards from text containing technically rich literature.