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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
ML-Based Body Mass Index (BMI) Detection Using Facial Recognition
Authors
Manoj Dyavannavar, Ms. Sneha S, Pruthvi Raj C, Ravi Kumar N J, Sharanabasava
Keywords
Keywords: BMI Estimation, Machine Learning, Facial Recognition, CNN, ResNet, MobileNet, Vision Transformer.
Abstract
Abstract: Estimating Body Mass Index (BMI) typically relies on physical measurements, such as height and weight, which can be challenging to obtain in remote or resource-limited environments. To tackle this issue, this study introduces an ML-based BMI prediction approach that relies solely on facial images. The system combines face detection, preprocessing, feature extraction, and several machine-learning models, including Random Forest, SVM, CNN, ResNet, MobileNet, and the Vision Transformer (DINOv2). By learning structural and visual patterns in facial features, the model can estimate BMI with high accuracy. This non-invasive solution is well-suited for telemedicine platforms, fitness monitoring tools, and large-scale public health applications.
IJCRT's Publication Details
Unique Identification Number - IJCRT2512094
Paper ID - 298252
Page Number(s) - a689-a696
Pubished in - Volume 13 | Issue 12 | December 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Manoj Dyavannavar, Ms. Sneha S, Pruthvi Raj C, Ravi Kumar N J, Sharanabasava, "ML-Based Body Mass Index (BMI) Detection Using Facial Recognition", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.a689-a696, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512094.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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