LAMU-AI Roshanchau · COMPLETED
A minimal AI prototype for veterinary medicine that combines hybrid vector search, clinical entity recognition, RAG, and multi-provider LLM generation to retrieve and synthesize real-time antibiotic-use data.
github.com/Roshanchau/LAMU-AI · ★ 0 · Forks 0 · Size 351 KB
SUMMARY
Technologies 18
Scored 18
Observed 18
Practices 6
Evidence 19
Skips 0
COVERAGE
Analyzed 160 files · 8 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
15 files · PRODUCTION
Shell LANGUAGE Depth 70
4 files · PRODUCTION
JavaScript LANGUAGE Depth 70
3 files · PRODUCTION
JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
77 files · PRODUCTION
YAML LANGUAGE Depth 70
38 files · PRODUCTION
Python LANGUAGE Depth 70
13 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
MongoDB DATABASE Depth 69
2 files · CONFIGURATION
Next.js FRAMEWORK Depth 66
3 files · PRODUCTION
NumPy LIBRARY Depth 66
3 files · PRODUCTION
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
React FRAMEWORK Depth 74
6 files · PRODUCTION
Requests LIBRARY Depth 62
2 files · PRODUCTION
Tailwind CSS LIBRARY Depth 50
1 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-09-24
Last commit 2026-09-29
Active months 1
Commits 8