{"id":32494773,"url":"https://github.com/rahulkumar7189/american-sign-language-detection","last_synced_at":"2026-04-29T21:02:33.177Z","repository":{"id":318999901,"uuid":"1076787739","full_name":"rahulkumar7189/American-Sign-Language-Detection","owner":"rahulkumar7189","description":"Real-time American Sign Language detection system using CNN, OpenCV, MediaPipe, and PyTorch for computer vision-based sign language recognition","archived":false,"fork":false,"pushed_at":"2025-10-20T17:26:02.000Z","size":4182,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-27T13:02:19.981Z","etag":null,"topics":["ai","american-sign-language","asl","cnn","computer-vision","deep-learning","education","kaggle-dataset","machine-learning","mediapipe","opencv","pytorch","real-time-detection","sign-language"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rahulkumar7189.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-10-15T10:47:56.000Z","updated_at":"2025-10-20T17:26:05.000Z","dependencies_parsed_at":"2025-10-17T17:29:57.208Z","dependency_job_id":"1ebbb0bf-a24e-4863-8578-55fb4fe55b4e","html_url":"https://github.com/rahulkumar7189/American-Sign-Language-Detection","commit_stats":null,"previous_names":["rahulkumar7189/american-sign-language-detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rahulkumar7189/American-Sign-Language-Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulkumar7189%2FAmerican-Sign-Language-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulkumar7189%2FAmerican-Sign-Language-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulkumar7189%2FAmerican-Sign-Language-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulkumar7189%2FAmerican-Sign-Language-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rahulkumar7189","download_url":"https://codeload.github.com/rahulkumar7189/American-Sign-Language-Detection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulkumar7189%2FAmerican-Sign-Language-Detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32443576,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T20:22:27.477Z","status":"ssl_error","status_checked_at":"2026-04-29T20:22:26.507Z","response_time":110,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","american-sign-language","asl","cnn","computer-vision","deep-learning","education","kaggle-dataset","machine-learning","mediapipe","opencv","pytorch","real-time-detection","sign-language"],"created_at":"2025-10-27T13:01:00.893Z","updated_at":"2026-04-29T21:02:33.173Z","avatar_url":"https://github.com/rahulkumar7189.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# American Sign Language Detection\n\n## 📖 Project Overview\nThis project provides a comprehensive American Sign Language (ASL) detection system using computer vision and deep learning. The pipeline, training, and hand gesture recognition work accurately for all genders, including men, women, and non-binary individuals, ensuring inclusive and unbiased performance across diverse users.\n\n## ✨ Features\n- Real-time ASL gesture detection\n- CNN-based deep learning model\n- Hand landmark detection using MediaPipe\n- Support for multiple ASL signs\n- Training pipeline for custom datasets\n- Gender-inclusive recognition optimized for all users\n\n## 🚀 Usage\n\n### Training the Model\n```bash \npython train.py\n```\n\n### Creating Custom Dataset\nWhen collecting data using `create_dataset.py`, ensure diverse participant representation:\n- Include hand gestures from male, female, and non-binary participants\n- Capture various hand sizes, skin tones, and lighting conditions\n- Maintain consistent gesture form across all demographics\n\n```bash\npython create_dataset.py\n```\n\n### Running Sign Detection\n```bash\npython sign_detector.py\n```\n\n### Evaluating the Model\n```bash\npython Evaluation.py\n```\n\n## 🧠 Model Architecture\nThe CNN model consists of:\n- Convolutional layers for feature extraction\n- Pooling layers for dimensionality reduction\n- Fully connected layers for classification\n- Dropout for regularization\n\n## 📊 Dataset\nThe project supports various ASL datasets including:\n- Custom datasets created using `create_dataset.py` (ensure gender-diverse data collection with male, female, and non-binary participants for robust model performance)\n- Kaggle ASL datasets\n- Hand landmark data from MediaPipe\n\n**Note on Dataset Inclusivity**: For optimal performance across all users, training data should include hand gestures from participants of all genders, with particular attention to capturing male hand gestures alongside female and non-binary participants to prevent gender bias in recognition accuracy.\n\n## 🎓 Applications\n- **Education**: Teaching ASL to students\n- **Accessibility**: Bridging communication gaps\n- **Research**: Sign language recognition studies\n- **Real-time Translation**: Converting ASL to text/speech\n\n## 🤝 Contributing\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## 📝 License\nThis project is open source and available under the MIT License.\n\n## 🙏 Acknowledgments\n- MediaPipe for hand landmark detection\n- PyTorch community for deep learning framework\n- Kaggle for ASL datasets\n- OpenCV for computer vision tools\n\n## 📧 Contact\nFor questions or suggestions, please open an issue in this repository.\n\n---\n**Made with ❤️ for the ASL community**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulkumar7189%2Famerican-sign-language-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frahulkumar7189%2Famerican-sign-language-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulkumar7189%2Famerican-sign-language-detection/lists"}