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Research Paper on Desktop Assistant

Authors :
Lilesh Mandhalkar
Ishika Potbhare
Pratiksha Walande
Durgesh Yerme
Mr. Chandrapal Chauhan
Source :
International Journal for Research in Applied Science and Engineering Technology. 11:3764-3768
Publication Year :
2023
Publisher :
International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2023.

Abstract

The main thing of Artificial intelligence (AI) is the consummation of natural dialogue between humans and machines. There are numerous IT companies have used the dialogue systems technology to establish various kinds of Virtual assistants grounded on their operations and areas for adding commerce between mortal and machine, similar as Microsoft’s Cortana, Apple’s Siri, Amazon Alexa, Google Assistant. Like Microsoft Cortana we've created our own virtual desktop assistant only for Government College Of Engineering Chandrapur (GCOEC) using python which is suitable to run on any windows operating systems. We use python as a programming language because it has a multitude of libraries which can be used to create Artificial Intelligence. Our version of desktop assistant is capable of recognizing voice and voice commands. Desktop Assistant are programs on digital device like PC that hear and respond to verbal commands. Example, a user can say, “Open GCOEC Website” and the assistant will answer with the sanctioned website of GCOEC. Desktop Assistants can change the way of life of the people in a different manner. Bias is starting to build up in the community as AI’s are getting smarter in their own way to interact with humans in an easy language. The Desktop Assistant is a program that can fete mortal voices and can respond via integrated voice system. This paper will define the working of Desktop assistant, their main problems and limitations. In this paper it's described that the system of creating a Desktop assistant without using pall services, which will allow the expansion of similar bias in the future

Subjects

Subjects :
General Medicine

Details

ISSN :
23219653
Volume :
11
Database :
OpenAIRE
Journal :
International Journal for Research in Applied Science and Engineering Technology
Accession number :
edsair.doi...........1f10fc88bfcfbf71b8e3efb0d923779b