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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

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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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