emnikhil/Sign-Language-To-Text-Conversion
Sign Language to Text Conversion is a real-time system that uses a camera to capture hand gestures and translates them into text, words, and sentences using Computer Vision and Machine Learning.
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
emnikhil/Sign-Language-To-Text-Conversion has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Sign-Language-To-Text-Conversion | AutoGrad-Engine | pfl-research | open-rag-eval |
|---|---|---|---|---|
| Stars | 353 | 353 | 353 | 353 |
| Forks | 127 | 45 | 41 | 23 |
| Weekly Growth | +0 | +9 | +0 | +0 |
| Language | Python | C# | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs AutoGrad-Engine
Last code push 322 days ago.
Fork-to-star ratio: 36.0%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.