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Title: :  Obesity Classification Using Machine Learning
PaperId: :  23225
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23225
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Akanksha Subhash GulekarSiddhant College Of Engineering,Pune
Rashmi G. KulkarniSiddhant College Of Engineering,Pune
Swapnali Shivshankar DokeSiddhant College Of Engineering,Pune
Anand Kailas KhondeSiddhant College Of Engineering,Pune
Ayush Rajesh ZadeSiddhant College Of Engineering,Pune

Abstract

Information Technology Engineering
Support Vector Machine, Logistic Regression, Decision Tree, Random Forest
The escalating global concern surrounding obesity underscores the urgent need for precise classification methodologies to address this pressing health issue effectively. This innovative project endeavors to pioneer a sophisticated system for obesity detection and classification, leveraging a fusion of cutting-edge image processing techniques and machine learning algorithms. Embracing a holistic approach, the system meticulously incorporates essential parameters such as body mass index, waist circumference, body fat percentage, and demographic variables like age, gender, and ethnicity to ensure comprehensive and accurate assessments. At its core, the system integrates a camera module to capture high-resolution full-body images, harnessing the power of advanced machine learning algorithms, including Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF), to discern obesity levels with unparalleled precision. Moreover, the system seamlessly incorporates Logistic Regression (LR) to enable real-time obesity detection directly through a webcam interface, facilitating prompt intervention and support. Throughout the system's design and implementation, stringent privacy protocols and informed consent mechanisms take precedence, ensuring utmost respect for individual privacy and autonomy. This concerted effort amalgamates cutting-edge technology with ethical considerations to forge a transformative solution in the fight against obesity on a global scale.

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IJARIIE Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. "Obesity Classification Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 3630-3637
MLA Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. "Obesity Classification Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 3630-3637.
APA Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, & Ayush Rajesh Zade. (2024). Obesity Classification Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 3630-3637.
Chicago Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. "Obesity Classification Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 3630-3637.
Oxford Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. 'Obesity Classification Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 3630-3637. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Obesity_Classification_Using_Machine_Learning_ijariie23225.pdf (Accessed : ).
Harvard Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. (2024) 'Obesity Classification Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 3630-3637IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Obesity_Classification_Using_Machine_Learning_ijariie23225.pdf (Accessed : )
IEEE Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade, "Obesity Classification Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 3630-3637, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/Obesity_Classification_Using_Machine_Learning_ijariie23225.pdf [Accessed : ].
Turabian Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. "Obesity Classification Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Akanksha Subhash Gulekar, Rashmi G. Kulkarni, Swapnali Shivshankar Doke, Anand Kailas Khonde, and Ayush Rajesh Zade. Obesity Classification Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 3630-3637. Available from: http://ijariie.com/AdminUploadPdf/Obesity_Classification_Using_Machine_Learning_ijariie23225.pdf
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