International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Enhancing Voice Assistants with Generative AI Language Models for Interactive Conversations

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Enhancing Voice Assistants with Generative AI Language Models for Interactive Conversations

Shivam Hajong, Techi Dol, Kipa Peter *Biswajit Das, Sonali Mondal

 Department of Computer Science, Arunachal University of Studies, Namsai, Arunachal Pradesh, India

*Corresponding author E-mail: biswajit195313@gmail.com, sonalimondal20387@gmail.com

 

Abstract - This paper presents comprehensive research for the development of a voice assistant application using HTML/CSS, JavaScript, Python, SQLite, and the Hugging Face API. The proposed methodology encompasses key steps in data collection, model training, frontend and backend development, integration, testing, and deployment, ensuring the creation of a robust and user-friendly voice assistant system. By leveraging a combination of web technologies and Al tools, the developed voice assistant application offers an interactive and intelligent user experience across its users.

 

Key Words:  Voice assistant, HTML/CSS, JavaScript, Python, SQLite, Hugging Face API, LLMs, AI.


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