RAG-based-Al-Teaching ggauravky · COMPLETED
AI-powered course Q&A system that transcribes videos, generates embeddings, performs semantic search, and answers student questions with timestamped video references using local LLMs (Whisper, BGE-M3, Ollama, Llama 3.2).
github.com/ggauravky/RAG-based-Al-Teaching · ★ 0 · Forks 0 · Size 70.2 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 9
Skips 0
COVERAGE
Analyzed 30 files · 12 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
18 files · PRODUCTION
Python LANGUAGE Depth 70
5 files · PRODUCTION
MongoDB DATABASE Depth 65
1 files · CONFIGURATION
NumPy LIBRARY Depth 58
2 files · PRODUCTION
Prettier QUALITY Depth 65
1 files · CONFIGURATION
Requests LIBRARY Depth 58
2 files · PRODUCTION
TypeScript LANGUAGE Depth 42
1 files · PRODUCTION
pandas LIBRARY Depth 58
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-28
Last commit 2026-08-04
Active months 2
Commits 12