Publication

Abstract : Learning and preparing for the examinations have been a tough task according to the students' perspective, especially when the students are learning remotely. Subjects like languages or history require a lot of reading and remembrance skills associated with it. In this paper, we propose a question-answering model based on BERT (Bidirectional Encoder Representations from Transformers) that can assist learners of all ages with immediate feedback from the topic. We incorporate LSTM (Long Short- Term Memory) along with BERT into our application. This has helped in achieving a language translation from English to Hindi that helps non-native English users understand the context. Our model can be applied in assisting learners of any age.