Conversational AI-Chatbot Powered by BERT for Enhanced Voice Interaction

Authors

  • Mrs.Elakia k Assistant Professor, Computer Science and Engineering, RGCET, Pondicherry University, India. Author
  • Dr.R.G.Suresh Kumar Professor, Computer Science and Engineering, RGCET, Pondicherry University, India. Author
  • Ms.Akshara pavithran UG, Computer Science and Engineering, RGCET, Pondicherry University, India. Author
  • Ms.Sreenandana T M UG, Computer Science and Engineering, RGCET, Pondicherry University, India. Author
  • Ms.Vismaya A K UG, Computer Science and Engineering, RGCET, Pondicherry University, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0204

Keywords:

Artificial Intelligence, NLP, chatbot, machine learning, BERT, Reactive Native, voice interaction

Abstract

AI is a set of technologies that enables computers to perform a variety of advanced functions, including the spoken and written language, analyse data, make suggestion. The existing system developed a chatbot that support quality education to give prospective users with accurate information about universities and their unique courses. The chatbot give accurate information that can be available in any time. Traditional chatbot, which can affect in inaccuracies in information. Students face confusion due to disagreement in information Universities frequently fail to instantly answer user's queries. System cannot support voice interactions. To overcome these limitations, we utilize Bidirectional Encoder Representations from Transformer (BERT), a more advanced technology that significantly improves accuracy. Also, the chatbot is integrated into a mobile operation built with React Native, enabling both text and voice. The voice feature enhances accessibility, offering a more accessible and user-friendly experience. This upgraded chatbot system ensures that user can receive reliable and precise information.

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Published

2025-04-18

How to Cite

Conversational AI-Chatbot Powered by BERT for Enhanced Voice Interaction. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1432-1440. https://doi.org/10.47392/IRJAEH.2025.0204

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