An Approach Towards Chatbot Using Speech Recognition

Year : 2024 | Volume :11 | Issue : 01 | Page : 1-5
By

P. Priyadarshani

  1. PG Student Department of Artificial Intelligence and Data Science, Sri Manakula Vinayagar Engineering College, Madagadipet Puducherry India

Abstract

Chatbot is software that, rather than facilitating direct interaction with a live human agent, conducts online conversations using text or text-to-speech. It is designed to accurately mimic human behavior during conversation. This paper presents a proposed chat system that dynamically responds to web-based customer queries. Speech recognition is the basis of the artificial intelligence used in the proposed system. The web-based platform provides a large intelligence base to help simulate human problem solving. This proposed chat recognizes the context of the user, which determines the specific purpose of the response. The user gets the desired response because it is a dynamic response. The proposed system learns the chatbot through multiple user responses and questions using machine learning techniques. Today, chatbots are becoming incredibly powerful as artificial intelligence helps people in every conversation by understanding a user’s question and providing an accurate answer. The goal of the project is to show how chatbots can reduce an organization’s dependence on human labor and the need for different systems to perform different tasks.

Keywords: Chatbot, artificial intelligence, machine learning, web-based platform

[This article belongs to Journal of Advancements in Robotics(joarb)]

How to cite this article: P. Priyadarshani. An Approach Towards Chatbot Using Speech Recognition. Journal of Advancements in Robotics. 2024; 11(01):1-5.
How to cite this URL: P. Priyadarshani. An Approach Towards Chatbot Using Speech Recognition. Journal of Advancements in Robotics. 2024; 11(01):1-5. Available from: https://journals.stmjournals.com/joarb/article=2024/view=139960


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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received February 16, 2024
Accepted February 29, 2024
Published April 5, 2024
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