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.

53
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Established

# Technical Summary Built on a CNN architecture with preprocessing pipeline using OpenCV (grayscale conversion, Gaussian blur, adaptive thresholding), the system trains on a custom fingerspelling dataset resized to 128×128 pixels and achieves 98% accuracy on 26-letter American Sign Language recognition. The model uses convolutional layers with max-pooling for feature extraction, fully connected layers for classification, and SoftMax normalization with cross-entropy loss optimization via TensorFlow. A GUI frontend enables real-time gesture-to-text conversion by chaining individual letter predictions into complete words for accessibility communication.

348 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

348

Forks

127

Language

Python

License

MIT

Last pushed

May 21, 2025

Commits (30d)

0

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