RoadEye patilaka · PARTIAL
An Cross Platform App that uses real-time computer vision (TensorFlow) and deep learning to detect and classify 21 traffic sign types from the camera feed. It features speed limit comparison with GPS speed tracking, audio/visual alerts, sign history logging, haptic feedback, trip timer.
github.com/patilaka/RoadEye · ★ 2 · Forks 0 · Size 74.3 MB
SUMMARY
Technologies 3
Scored 2
Observed 2
Practices 5
Evidence 12
Skips 1
COVERAGE
Analyzed 88 files · 2 commits · 111 API calls
TECHNOLOGIES & DEPTH
JUnit TESTING Depth —
0 files · config only
Spring Framework FRAMEWORK Depth 50
2 files · PRODUCTION
TypeScript LANGUAGE Depth 74
10 files · PRODUCTION
PRACTICES
automated_tests · observeddocumentation · observeddocumentation_source_ratio · observedmodule_test_ratio · observedtest_source_ratio · observed
ACTIVITY & OWNERSHIP
First commit 2026-07-02
Last commit 2026-07-02
Active months 1
Commits 2