Built with modern technologies and best practices to deliver accurate, fast, and secure skin condition analysis.
AI-Powered Analysis
Deep learning model trained on thousands of dermatological images.
- Advanced ResNet-50 v2 architecture
- Real-time processing via WebSocket
- High accuracy predictions
Multi-Condition Detection
Identifies five distinct skin condition categories.
- Burn Skin Detection
- Malignant Condition Analysis
- Healthy Skin Assessment
Instant Results
Get classification results within seconds, not minutes.
- Sub-second model inference
- Confidence score display
- Severity-based color coding
Privacy & Security
Your medical data is handled with the highest security standards.
- No image storage on servers
- Encrypted data transmission
- GDPR-compliant processing
Responsive Design
Fully optimized for desktop, tablet, and mobile devices.
- Mobile-first architecture
- Touch-optimized interactions
- Adaptive layout system
Drag & Drop Upload
Intuitive file upload with drag-and-drop support.
- Drag & drop or click to browse
- Image preview before analysis
- Supports PNG, JPG, WebP
Detailed Reporting
Comprehensive analysis results with actionable insights.
- Confidence percentage bar
- Condition severity indicators
- Medical disclaimers on concerning results
Open Source
Fully transparent codebase for educational use and collaboration.
- MIT licensed on GitHub
- Open model on Hugging Face
- Community contributions welcome
