ST
beingaryan/Sign-To-Speech-Conversion
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
139 101 -1/wk
GitHub
accuracy american-sign-language asl bing-search computer-vision deep-learning deep-neural-networks gesture-recognition keras keras-tensorflow opencv python3
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
beingaryan/Sign-To-Speech-Conversion has -1 stars this period . 7-day velocity: -0.7%.
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| Metric | Sign-To-Speech-Conversion | faster-gaussian-splatting | face2face | robovision |
|---|---|---|---|---|
| Stars | 139 | 139 | 139 | 140 |
| Forks | 101 | 17 | 27 | 24 |
| Weekly Growth | -1 | +2 | +0 | +0 |
| Language | Jupyter Notebook | Cuda | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | GPL-3.0 |
Capability Radar vs faster-gaussian-splatting
Sign-To-Speech-Conversion
faster-gaussian-splatting
Maintenance Activity 0
Last code push 1827 days ago.
Community Engagement 20
Fork-to-star ratio: 72.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.