{"id":27644949,"url":"https://github.com/shehbaz-singh/airwrite","last_synced_at":"2026-04-30T13:34:19.367Z","repository":{"id":289526167,"uuid":"971559937","full_name":"Shehbaz-Singh/AirWrite","owner":"Shehbaz-Singh","description":"AirWrite is an AI-powered system that converts air-drawn gestures into text using real-time hand tracking and deep learning classification. Built with OpenCV and TensorFlow, it enables touch-free interaction through finger movement, making it ideal for accessible, hygienic, and intuitive digital communication.","archived":false,"fork":false,"pushed_at":"2025-04-23T18:00:38.000Z","size":7645,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-24T00:59:10.147Z","etag":null,"topics":["deep-learning","opnecv","pygame","python","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/Shehbaz-Singh.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,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-04-23T17:52:59.000Z","updated_at":"2025-04-23T18:02:39.000Z","dependencies_parsed_at":"2025-04-23T18:55:47.281Z","dependency_job_id":null,"html_url":"https://github.com/Shehbaz-Singh/AirWrite","commit_stats":null,"previous_names":["shehbaz-singh/airwrite"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shehbaz-Singh%2FAirWrite","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shehbaz-Singh%2FAirWrite/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shehbaz-Singh%2FAirWrite/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shehbaz-Singh%2FAirWrite/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Shehbaz-Singh","download_url":"https://codeload.github.com/Shehbaz-Singh/AirWrite/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250540990,"owners_count":21447427,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["deep-learning","opnecv","pygame","python","tensorflow"],"created_at":"2025-04-24T00:59:14.142Z","updated_at":"2026-04-30T13:34:19.361Z","avatar_url":"https://github.com/Shehbaz-Singh.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AirWrite ✍️  \n**Character and Numerical Recognition Using OpenCV and Deep Learning**\n\n## 🔍 Abstract\n\nRecent advancements in image processing and pattern recognition have enabled the development of air-writing systems that transform motion into meaningful text. **AirWrite** is a touchless input system that allows users to \"write\" characters and numbers in the air using just their index finger. Combining real-time hand tracking using **OpenCV** and classification via deep learning, AirWrite provides an efficient, accurate, and hygienic way to interact with digital devices.\n\nThis project is particularly useful in settings that demand touchless interactions — such as healthcare or public kiosks — and also provides a new level of accessibility for individuals with physical disabilities.\n\n## 💡 Features\n\n- Real-time hand and fingertip tracking\n- Digit and character recognition modes\n- Deep learning-based classification\n- No need for physical keyboards or touchscreens\n- Improves accessibility and hygiene\n- Open-source and customizable\n\n## 🛠 Technologies Used\n\n- Python 🐍\n- OpenCV 🎥\n- NumPy 📊\n- TensorFlow/Keras 🧠\n- Pygame (for UI) 🎮\n\n## 🚀 Getting Started\n\n### Prerequisites\n\nMake sure you have the following installed:\n- Python 3.x\n- pip\n\n### Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/yourusername/airwrite.git\n   cd airwrite\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshehbaz-singh%2Fairwrite","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshehbaz-singh%2Fairwrite","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshehbaz-singh%2Fairwrite/lists"}