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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