NutriAthlete-AI Ekisa02 · COMPLETED
Athletes often face unverified supplements, risking accidental doping. AI can support nutrition tracking apps, supplement verification systems, and personalized meal recommendations linked to certified sources and laboratories. Local Opportunity: Eldoret and Kaptagat host over 80 elite training camps and thousands of semi-professional athletes. Emb
github.com/Ekisa02/NutriAthlete-AI · ★ 1 · Forks 0 · Size 201 KB
SUMMARY
Technologies 8
Scored 8
Observed 8
Practices 6
Evidence 9
Skips 0
COVERAGE
Analyzed 26 files · 14 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
19 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Next.js FRAMEWORK Depth 58
1 files · PRODUCTION
React FRAMEWORK Depth 81
15 files · PRODUCTION
Vite BUILD_TOOL Depth 43
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-09
Last commit 2025-11-10
Active months 1
Commits 14