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- ---
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- title: Sign Language Project
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- emoji:
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- colorFrom: indigo
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- colorTo: red
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- sdk: streamlit
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- sdk_version: 1.34.0
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- app_file: app.py
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- pinned: false
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Sign Language Project
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+ An AI-powered system for translating Russian Sign Language (RSL) gestures into fluent, grammatically correct Russian text.
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+ ## 🚀 Overview
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+ The Sign Language Project integrates computer vision and natural language processing to create an end-to-end pipeline:
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+ - **Gesture Recognition**: Uses ResNet-3D and OpenCV to identify continuous RSL video input.
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+ - **Linguistic Correction**: Applies GPT-3.5-Turbo via API to convert gloss output into fluent Russian sentences.
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+ This project aims to assist educators, students, and developers working with RSL by automating the translation of sign language into readable text.
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+ ## 🔬 Technical Highlights
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+ - **ResNet-3D**: For video frame-based gesture recognition.
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+ - **OpenCV**: For video preprocessing and gesture extraction.
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+ - **GPT-3.5-Turbo Integration**: For morphosyntactic correction and fluent sentence generation.
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+ - **Streamlit Interface**: For easy testing and demonstration.
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+ ## 👥 Community & Usage
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+ - Publicly available on Hugging Face.
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+ - Tested by developers and educators exploring sign language technology.
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+ - Recognized in expert evaluations as an example of applied AI for assistive technology.
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+ ## 📝 License
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+ This project is released under the [MIT License](LICENSE).
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