World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT May 2024 Issue has been Published, Kindly check it on https://www.wjert.org/home/current_issues

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    WJERT Impact Factor has been Increased to 7.029 for Year 2024.

  • WJERT: MAY ISSUE PUBLISHED

    MAY 2024 Issue has been successfully launched on 1 MAY 2024.

Indexing

  Indexing

Abstract

AI DESKTOP ASSISTANT

B. Ashish Karagond*, Shruthi D. V.*, Himavanth A. Bhat*, Samarth H. M.* and Rahul D.*

ABSTRACT

This project presents the development of an intelligent desktopassistant empowered by computer vision capabilities, aimed atenhancing user interaction and productivity in desktop computingenvironments. The integration of artificial intelligence (AI) andcomputer vision technologies provides a sophisticated and contextawareassistant that can interpret and respond to user actions in a moreintuitive manner. The AI desktop assistant leverages computer visionalgorithms to analyze the user's environment through the webcam orother visual input devices. This enables the system to recognize gestures, facial expressions,and objects in the user's surroundings. The assistant utilizes this visual information tounderstand the user's context, providing a more personalized and responsive interaction.

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