anime-recommender-application Nikelroid · COMPLETED
An end-to-end MLOps project implementing a deep learning-based anime recommendation system with automated CI/CD deployment to Google Kubernetes Engine.
github.com/Nikelroid/anime-recommender-application · ★ 0 · Forks 0 · Size 25.7 MB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 51 files · 44 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
19 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 54
1 files · PRODUCTION
NumPy LIBRARY Depth 74
4 files · PRODUCTION
Pydantic LIBRARY Depth 54
1 files · PRODUCTION
Uvicorn LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 81
6 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-23
Last commit 2025-11-21
Active months 3
Commits 44