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Intelligent Learning Assistant using BERT and LSTM

Publication Type : Conference Paper

Publisher : IEEE

Source : 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Url : https://ieeexplore.ieee.org/document/9579531

Campus : Amritapuri

School : School of Computing

Year : 2021

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.

Cite this Research Publication : Ritwik SRK, Sriharsha C,Prahlad Poppuri Lekshmi S Nair ” Intelligent Learning Assistant using BERT and LSTM”, in 12th International Conference On Computing, Communication And Networking Technologies (ICCCNT) 2021, IEEE.

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