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    <journal>
        <name>International Journal of Research and Development in Engineering Sciences</name>
        <website>https://www.ijrdes.com</website>
    </journal>

    <metadata>
        <title>Diabetes Detection and Analysis using Machine Learning</title>

        <authors>
			<author><name>Bosubabu Sambana</name><name>P J V G PRAKASA RAO</name><name>KUPPIREDDY KRISHNA REDDY</name>     </author>
        </authors>

        <volume>4</volume>
        <issue>3 (May - June)</issue>

        <publication>
            <year>2022</year>
			<month>05</month>
			
			<period>May-June</period>
        </publication>

		<language>en</language><keywords><keyword>Virtual Mouse</keyword><keyword>Gesture Recognition</keyword><keyword>Human-Computer Interaction</keyword><keyword>Accessibility</keyword><keyword>Computer Vision</keyword></keywords> 
    </metadata>

    <abstract>The Virtual Mouse Assistant is an innovative humancomputer interaction system designed to provide an intuitive and handsfree alternative to traditional mouse devices Leveraging advanced computer vision and gesture recognition technologies the system enables users to control cursor movements perform clicks and execute complex commands using simple hand gestures This approach enhances accessibility particularly for individuals with physical disabilities and offers a more ergonomic solution for prolonged computer use The system integrates realtime image processing with machine learning algorithms to accurately detect and interpret hand movements ensuring smooth and precise control Additionally it supports customizable gestures allowing users to tailor commands according to their preferences and workflow requirements Extensive testing demonstrates that the Virtual Mouse Assistant significantly reduces the dependency on physical input devices while maintaining high accuracy and responsiveness Its applications extend beyond conventional computing finding relevance in gaming virtual reality and remote operation environments By bridging the gap between human intention and digital execution the Virtual Mouse Assistant represents a step forward in creating more natural and efficient user interfaces Future work focuses on enhancing gesture recognition in varying lighting conditions and expanding compatibility across multiple platforms </abstract>

    <copyright>
        <statement>
            Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved.
        </statement>
        
            <year>2022</year>
        <license>All Rights Reserved</license>
    </copyright>

</article>
