Agri-Vision siddharth277 · PARTIAL
Agri-Vision is an AI-powered cotton crop analysis system that uses deep learning and computer vision to detect growth stages, identify crop health issues, and provide smart recommendations through a Flask-based web interface and REST API.
github.com/siddharth277/Agri-Vision · ★ 4 · Forks 1 · Size 288.8 MB
SUMMARY
Technologies 18
Scored 16
Observed 16
Practices 6
Evidence 19
Skips 2
COVERAGE
Analyzed 106 files · 303 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
12 files · PRODUCTION
YAML LANGUAGE Depth 70
9 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
11 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Celery MESSAGE_BROKER Depth 41
1 files · PRODUCTION
Flask FRAMEWORK Depth 54
1 files · PRODUCTION
Gunicorn LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 74
5 files · PRODUCTION, TEST
RabbitMQ MESSAGE_BROKER Depth 69
2 files · CONFIGURATION
Redis CACHE Depth 48
1 files · CONFIGURATION
Requests LIBRARY Depth 58
1 files · PRODUCTION
Werkzeug LIBRARY Depth 54
1 files · PRODUCTION
pytest TESTING Depth 70
4 files · PRODUCTION, TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-01-28
Last commit 2026-05-24
Active months 2
Commits 303