BMI estimation from face images

Abstract

This project presents a comprehensive study on BMI estimation from face images, with a particular emphasis on improving predictive performance. By leveraging state-of-the-art deep learning architectures, advanced image preprocessing techniques, and robust feature extraction methods, the proposed approach achieves significant improvements in estimation accuracy. Experimental results demonstrate the effectiveness of the optimized model on benchmark datasets, highlighting the potential of facial analysis as a practical tool for automated BMI assessment in various healthcare and wellness applications.