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| title: Sign Language Project | |
| emoji: 🤟 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.45.0 | |
| app_file: app.py | |
| pinned: false | |
| # Sign Language Project | |
| ⚡ An AI-powered system for translating Russian Sign Language (RSL) gestures into fluent, grammatically correct Russian text. | |
| ## 🚀 Overview | |
| The Sign Language Project integrates computer vision and natural language processing to create an end-to-end pipeline: | |
| - **Gesture Recognition**: Uses ResNet-3D and OpenCV to identify continuous RSL video input. | |
| - **Linguistic Correction**: Applies GPT-3.5-Turbo via API to convert gloss output into fluent Russian sentences. | |
| This project aims to assist educators, students, and developers working with RSL by automating the translation of sign language into readable text. | |
| ## 🔬 Technical Highlights | |
| - **ResNet-3D**: For video frame-based gesture recognition. | |
| - **OpenCV**: For video preprocessing and gesture extraction. | |
| - **GPT-3.5-Turbo Integration**: For morphosyntactic correction and fluent sentence generation. | |
| - **Streamlit Interface**: For easy testing and demonstration. | |
| ## 👥 Community & Usage | |
| - Publicly available on Hugging Face. | |
| - Tested by developers and educators exploring sign language technology. | |
| - Recognized in expert evaluations as an example of applied AI for assistive technology. | |
| ## 📝 License | |
| This project is released under the [MIT License](LICENSE). | |