WaterTwin-AI-With-LLM angillaf · PARTIAL
A sophisticated Digital Twin for rainwater harvesting that leverages Gemini 2.0 Flash (LLM) for generative engineering intelligence and Scikit-Learn for predictive water consumption modeling.
github.com/angillaf/WaterTwin-AI-With-LLM · ★ 1 · Forks 0 · Size 26 KB
SUMMARY
Technologies 5
Scored 4
Observed 4
Practices 6
Evidence 6
Skips 1
COVERAGE
Analyzed 8 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
4 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 66
2 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-24
Last commit 2026-01-03
Active months 2
Commits 6