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ISSN 2063-5346
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Study and evaluation of “Seq-2-Seq” model competency in AI-based educational chatbot for the Marathi language

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Mohammed Waseem Ashfaque* Charansing N. Kayte Sohail Iqbal Malik Shaikh Abdul Hannan
» doi: 10.48047/ecb/2023.12.si13.119

Abstract

Nowadays, chatbot has become more popular in almost all fields, specifically after the Corona pandemic. In the education field, it has a potential impact, it becomes an assistant not only for students but for the teacher also. And is not only a blessing for students,and tutors, but also for educational institutes, and educational administrators. The implementation of the chatbot can be either rule-based or generative-based but using AI generative-based chatbot, can be more intelligent and smart, and friendly in many ways, that’s why it become more popular among educational entities.Which,“Seq-2-Seq” (“Seq-2-Seq”) model using recurrent neural network (RNN), is quite centric for developers and researchers in implementing artificial intelligence-based chatbots, though still it is in the early stage of its progress and development. Actually hosted for machine translation-based devices,This Sequence to Sequence model has been amended for conversational modeling containing questioning and answering machines like chatbots.

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