Skin-Disease-Detection-Web-Application genius-0963 · PARTIAL
developed a full-stack, responsive web application for real-time skin disease diagnosis using image analysis powered by deep learning. The system helps users receive instant and accurate skin condition predictions by uploading a photo of the affected area.
github.com/genius-0963/Skin-Disease-Detection-Web-Application · ★ 1 · Forks 0 · Size 140 KB
SUMMARY
Technologies 10
Scored 9
Observed 9
Practices 6
Evidence 11
Skips 1
COVERAGE
Analyzed 79 files · 7 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
69 files · PRODUCTION
JSON LANGUAGE Depth 70
5 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JavaScript LANGUAGE Depth 70
2 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 65
2 files · CONFIGURATION
Next.js FRAMEWORK Depth 74
5 files · PRODUCTION
React FRAMEWORK Depth 81
50 files · PRODUCTION
Tailwind CSS LIBRARY Depth 54
1 files · PRODUCTION
Zod LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-05-27
Last commit 2025-12-21
Active months 3
Commits 7