Smart Image Transformation Analysis

With the rapid growth of Artificial Intelligence (AI) and Computer Vision, analyzing visual
transformations has become increasingly important. Traditional methods rely on human observation,
which may lead to subjective and inconsistent results. This paper proposes a Smart Image
Transformation Analyzer that compares before-and-after images to detect and quantify changes in facial
and body features. The system utilizes computer vision techniques such as image preprocessing, facial
landmark detection, and feature extraction to convert visual data into measurable values. Ma-chine
learning algorithms are applied to analyze and classify transformations. The results are presented
through graphical visualizations, ena-bling objective and accurate analysis.