{"id":50166132,"url":"https://github.com/santhoshmani1/sign-language-recognition","last_synced_at":"2026-05-24T21:02:28.965Z","repository":{"id":226365722,"uuid":"766416473","full_name":"Santhoshmani1/Sign-language-recognition","owner":"Santhoshmani1","description":"Sign language recognition with LSTM based neural network and tensorflow sequential model","archived":false,"fork":false,"pushed_at":"2024-03-07T06:12:35.000Z","size":8179,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-04-28T06:24:47.843Z","etag":null,"topics":["machine-learning","mediapipe","python","sign-language-recognition","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Santhoshmani1.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2024-03-03T07:46:20.000Z","updated_at":"2024-03-07T17:55:50.000Z","dependencies_parsed_at":"2024-03-07T08:43:57.775Z","dependency_job_id":null,"html_url":"https://github.com/Santhoshmani1/Sign-language-recognition","commit_stats":null,"previous_names":["santhoshmani1/sign-language-recognition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Santhoshmani1/Sign-language-recognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Santhoshmani1%2FSign-language-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Santhoshmani1%2FSign-language-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Santhoshmani1%2FSign-language-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Santhoshmani1%2FSign-language-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Santhoshmani1","download_url":"https://codeload.github.com/Santhoshmani1/Sign-language-recognition/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Santhoshmani1%2FSign-language-recognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33450402,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-24T19:21:36.376Z","status":"ssl_error","status_checked_at":"2026-05-24T19:21:10.562Z","response_time":57,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["machine-learning","mediapipe","python","sign-language-recognition","tensorflow"],"created_at":"2026-05-24T21:02:18.172Z","updated_at":"2026-05-24T21:02:28.955Z","avatar_url":"https://github.com/Santhoshmani1.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sign Language Recognition with LSTM Neural Network\r\n\r\n## Introduction\r\n\r\nSign language is a comprehensive language system that employs hand gestures, facial expressions, and body movements to communicate. It serves as a primary means of communication for individuals who are deaf or hard of hearing.\r\n\r\nIn this project, we aim to bridge the communication gap by developing a system that can recognize and interpret sign language. We leverage the power of Long Short-Term Memory (LSTM) neural networks, a type of Recurrent Neural Network (RNN) well-suited for sequence prediction problems.\r\n\r\n## Preview\r\n\r\n\u003cimg src=\"images/Hello.png\" width=\"300\"\u003e \r\n\u003cimg src=\"images/Thanks.png\" width=300\"\u003e\r\n\u003cimg src=\"images/Iloveyou.png\" width=\"300\"\u003e\r\n\r\n\r\n\r\n## Technologies Used\r\n- Python 3.8\r\n- opencv-python~=4.9.0.80\r\n- numpy~=1.26.4\r\n- mediapipe~=0.10.9\r\n- scikit-learn~=1.4.1.post1\r\n- tensorflow~=2.15.0\r\n\r\n## Usage\r\n\r\n| To use the application, Python 3.8 must be installed on your machine.\r\n\r\n1. Fork the repository\r\n\r\n\r\n2. Clone the repository to your local machine\r\n```bash\r\ngit clone https://www.github.com/\u003cyourname\u003e/Sign-Language-Recognition.git\r\n```\r\n\r\n3. Install the required packages using pip\r\n\r\n```bash\r\npip install -r requirements.txt\r\n```\r\n\r\n4. Run the application\r\n```bash\r\npython main.py\r\n```\r\n\r\n## LICENSE\r\nThe project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanthoshmani1%2Fsign-language-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsanthoshmani1%2Fsign-language-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsanthoshmani1%2Fsign-language-recognition/lists"}