adtc-shona-coding-tutor sehmaluva · PARTIAL
An offline, low-cost AI coding mentor built for the ADTC Laptop LLM Challenge 2026. Runs a quantized LLM locally via RAG over a curated CS syllabus, with bilingual (English/Shona) explanations — no internet, no API costs, no cloud dependency.
github.com/sehmaluva/adtc-shona-coding-tutor · ★ 0 · Forks 0 · Size 230 KB
SUMMARY
Technologies 11
Scored 6
Observed 6
Practices 6
Evidence 12
Skips 5
COVERAGE
Analyzed 16 files · 48 commits · 0 API calls
TECHNOLOGIES & DEPTH
Shell LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
8 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Click LIBRARY Depth —
0 files · config only
HTTPX LIBRARY Depth —
0 files · config only
Jinja2 LIBRARY Depth —
0 files · config only
MarkupSafe LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 58
2 files · PRODUCTION
typing_extensions LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-12
Last commit 2026-08-24
Active months 2
Commits 48