Powered by Convolutional Neural Networks — Detect skin cancer lesions or Monkeypox from any photo, anywhere. Up to 95% accuracy.
Select detection model and upload image
Our CNN-powered platform provides comprehensive skin analysis tools designed for accuracy and ease of use.
Capture skin image via app, web, or post directly from social media. No app download needed.
Trained on 100k+ images for melanoma, basal cell, and more. Multi-layer segmentation with heatmap visualization.
Personalized report with severity assessment, probability scores, and recommended next steps.
Share photos seamlessly from Instagram, Facebook, WhatsApp, or email — analysis works from any platform.
Process in under 2 seconds on-device or cloud. Instant feedback when you need it most.
Monitor lesions over time, see improvement graphs, and share progress with your healthcare provider.
Four simple steps to comprehensive skin health analysis, powered by advanced neural networks.
Snap or upload a skin photo from anywhere. Works with any device, any platform.
Our CNN processes the image with precise segmentation and classification algorithms.
Receive instant diagnosis probability, heatmap visualization, and detailed report.
Consult with doctors, track over time, and reduce infection risk by up to 40%.
Real feedback from advisors, researchers, and early users who helped shape SKIN.
"This project shows real promise for public health applications. The team did excellent work integrating CNN models for practical use."
"Impressive capstone work. The system architecture is solid and the UI is clean. Looking forward to seeing how this evolves."
"The machine learning implementation is well-executed. Good balance between model complexity and practical performance."
"Tried the beta version during testing phase. Interface is intuitive and the results came back quickly. Interesting project!"
"Helped review the methodology during defense. The research approach is thorough and the documentation is comprehensive."
"Tried the beta version during testing phase. Interface is intuitive and the results came back quickly. Interesting project!"