Scholarlink

The “Jay_AI Voice Assistant” is a voice-activated application that leverages natural language processing (NLP) and AI-driven functionalities to enhance user interaction. The system is initiated through a simple voice command and provides users with four key features: Talk with Bot, Weather Details, News Details, and Emotion Detection. The assistant supports voice and text input, enabling seamless responses to user queries. It can also launch system applications like Word, Excel, and web services such as YouTube and Google. Integrated AI tools assist with tasks like logo creation, resume writing, content generation, and code debugging. While weather updates are available for cities, news articles are retrieved based on user requests. Additionally, the assistant analyzes user emotions through spoken input. Designed for intuitive navigation, the application prioritizes privacy by not storing local data, ensuring a fresh user experience with each session. This paper highlights the effective integration of voice recognition, NLP, and AI to meet a wide range of user needs.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Personalized Voice Assistant Approach Leveraging Generative AI

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • M. Jayanthi Rao,
  • D. Priyanka,
  • V. Lokesh Raju,
  • Sanapala Bhaskar Rao,
  • P. Anjaneyulu

摘要

The “Jay_AI Voice Assistant” is a voice-activated application that leverages natural language processing (NLP) and AI-driven functionalities to enhance user interaction. The system is initiated through a simple voice command and provides users with four key features: Talk with Bot, Weather Details, News Details, and Emotion Detection. The assistant supports voice and text input, enabling seamless responses to user queries. It can also launch system applications like Word, Excel, and web services such as YouTube and Google. Integrated AI tools assist with tasks like logo creation, resume writing, content generation, and code debugging. While weather updates are available for cities, news articles are retrieved based on user requests. Additionally, the assistant analyzes user emotions through spoken input. Designed for intuitive navigation, the application prioritizes privacy by not storing local data, ensuring a fresh user experience with each session. This paper highlights the effective integration of voice recognition, NLP, and AI to meet a wide range of user needs.