AI CHATBOT WITH VOICE ASSISTED ANSWER
Authors:
Sailaja Madhu, S.Sania, A.Ashwini, S.Pallavi
Page No: 556-564
Abstract:
With the growing reliance on digital communication and automation, artificial intelligence (AI)-powered chatbots have emerged as key tools for enhancing user interactions across various domains, including customer service, healthcare, education, and entertainment. This project focuses on the development of an AI Chatbot with Voice-Assisted Answering system, aimed at providing more interactive and efficient communication between users and automated systems. The chatbot leverages advanced Natural Language Processing (NLP) and Speech Recognition technologies to offer users a seamless conversational experience. By integrating voice interaction capabilities, the system not only understands text-based input but also interprets spoken queries, enabling a hands-free, accessible interface for users.The voice-assisted chatbot is designed to respond to user queries with both text and voice outputs, making it suitable for various platforms, including mobile applications, websites, and voice-activated devices. It utilizes machine learning algorithms to continuously improve its responses and adapt to diverse user needs and preferences. The system's ability to handle context-aware conversations, combined with its support for multiple languages, ensures a personalized experience. This project aims to enhance user satisfaction by providing quicker, more accurate answers in both visual and auditory formats, improving accessibility and user engagement.
Description:
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Volume & Issue
Volume-13,ISSUE-12
Keywords
It utilizes machine learning algorithms to continuously improve its responses and adapt to diverse user needs and preferences. The system's ability to handle context-aware conversations, combined with its support for multiple languages, ensures a personalized experience. This project aims to enhance user satisfaction by providing quicker, more accurate answers in both visual and auditory formats, improving accessibility and user engagement.