Voice Assistant Using Artificial Intelligence

indukuri manikanta sai varma , kalidindi pranith varma , karri gnana keerthana , siraparapu neeraj kumar , sadi ram prasad reddy

Artificial intelligence, natural language processing, python, voice assistant and Bluetooth

Every procedure is now digitalized. We are already familiar with several voice based assistants, such as Google Assistant and Siri. This voice-assistance device serves as a basic medical prescriber, daily calendar reminder, note writer, calculator, and search engine. This project accepts voice input and outputs text through speech, as well as displaying it on the screen. Our primary goal with our voice assistance is to make folks smarter and to give rapid and measured results. The voice assistance system receives voice input via our microphone (Bluetooth or wired) and converts it to computer-comprehensible English. It then provides the user with the required solutions and replies. This assistance connects with the internet in order to provide answers to the user's inquiries. Genuine Language Processing algorithms enable computers to engage in conversation using a variety of kinds of natural human language. Nowadays, python is the most widely used language for artificial intelligence due to its plethora of AI packages; so, in this study, the speech recognition module (python) is critical for the conversion of voice to text.

Published Paper   E-Certificate

"Voice Assistant Using Artificial Intelligence", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 2, page no.105-112, May 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2202018.pdf

Volume 10 Issue 2, May-2022

Pages : 105-112

Paper Reg. ID: IJEDR_220087

Published Paper Id: IJEDR2202018

Research Area: Information Technology 

Country: visakhapatnam, andhra pradesh, India

Published Paper PDF: https://rjwave.org/IJEDR/papers/IJEDR2202018

Published Paper URL: https://rjwave.org/IJEDR/viewpaperforall?paper=IJEDR2202018

ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJEDR (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition