job-recommendation-system starkbaknet · PARTIAL
A high-performance, AI-powered job recommendation system built with FastAPI, PostgreSQL, and pgvector. The system uses multilingual sentence transformers to generate semantic embeddings and provides intelligent job matching based on skills, experience, and domain expertise.
github.com/starkbaknet/job-recommendation-system · ★ 0 · Forks 0 · Size 48 KB
SUMMARY
Technologies 15
Scored 13
Observed 13
Practices 6
Evidence 16
Skips 2
COVERAGE
Analyzed 16 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
7 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Alembic DATABASE Depth —
0 files · config only
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 58
1 files · PRODUCTION
PostgreSQL DATABASE Depth 57
2 files · CONFIGURATION
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
SQLAlchemy LIBRARY Depth 85
7 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-11
Last commit 2025-12-26
Active months 2
Commits 6