CodingSamrat/Sign-Language-Recognition
A Machine Learning model that will be able to classify the various hand gestures used for finger spelling in sign language
This project helps bridge communication gaps by recognizing hand gestures in real-time, specifically finger spelling. You can input live video of hand signs, and the system outputs the corresponding text or speech. This tool is designed for anyone needing to interpret sign language or custom hand gestures.
No commits in the last 6 months.
Use this if you need an automated system to interpret sign language or any predefined hand gestures from a video feed into text or speech.
Not ideal if you need to interpret complex, fluid sign language conversations rather than individual finger-spelled letters or distinct hand gestures.
Stars
15
Forks
7
Language
Python
License
MIT
Category
Last pushed
Aug 02, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CodingSamrat/Sign-Language-Recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
harshbg/Sign-Language-Interpreter-using-Deep-Learning
A sign language interpreter using live video feed from the camera.
AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of...
beingaryan/Sign-To-Speech-Conversion
Sign Language Detection system based on computer vision and deep learning using OpenCV and...
Arshad221b/Sign-Language-Recognition
Indian Sign language Recognition using OpenCV
Tachionstrahl/SignLanguageRecognition
Real-time Recognition of german sign language (DGS) with MediaPipe