Advanced facial feature analysis using cutting-edge machine learning to detect early signs of diabetes with unprecedented accuracy.
AI-powered analysis of facial features for early diabetes detection
Actionable recommendations based on comprehensive facial analysis
Secure, encrypted data handling with strict privacy measures
Our Grad-CAM analysis focuses on key facial areas, particularly the eyes and nasal region, to detect potential indicators of diabetes. The system examines multiple features including skin texture, eye conditions, and other biomarkers associated with diabetes.
Visage is an AI-powered tool designed for early diabetes detection using facial features.
Our AI analyzes specific facial features using state-of-the-art Grad-CAM technology to determine diabetic risk factors.
Yes, your data is encrypted and handled in compliance with privacy regulations.