{"id":20912120,"url":"https://github.com/mayankghatawal/facerecognisation","last_synced_at":"2026-04-13T15:33:49.610Z","repository":{"id":247542057,"uuid":"826108562","full_name":"MayankGhatawal/FaceRecognisation","owner":"MayankGhatawal","description":"Face Recognisation Attendance System Using Machine Learning","archived":false,"fork":false,"pushed_at":"2024-10-31T10:08:14.000Z","size":300,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-28T01:52:59.431Z","etag":null,"topics":["artificial-intelligence","backend","face","face-recognition","firebase","frontend","machine-learning","python","streamlit"],"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/MayankGhatawal.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}},"created_at":"2024-07-09T05:52:01.000Z","updated_at":"2024-11-08T14:28:35.000Z","dependencies_parsed_at":"2025-01-19T15:43:50.446Z","dependency_job_id":"3d842b90-7b0a-40b9-bab0-d2a4cbf5ef88","html_url":"https://github.com/MayankGhatawal/FaceRecognisation","commit_stats":null,"previous_names":["mayankghatawal/facerecognisation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MayankGhatawal/FaceRecognisation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MayankGhatawal%2FFaceRecognisation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MayankGhatawal%2FFaceRecognisation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MayankGhatawal%2FFaceRecognisation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MayankGhatawal%2FFaceRecognisation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MayankGhatawal","download_url":"https://codeload.github.com/MayankGhatawal/FaceRecognisation/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MayankGhatawal%2FFaceRecognisation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31759529,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","response_time":93,"last_error":"SSL_read: 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":["artificial-intelligence","backend","face","face-recognition","firebase","frontend","machine-learning","python","streamlit"],"created_at":"2024-11-18T14:25:34.104Z","updated_at":"2026-04-13T15:33:49.572Z","avatar_url":"https://github.com/MayankGhatawal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Face Recognition Attendance System\n\nThis project is a Face Recognition Attendance System built using Streamlit and OpenCV. The application captures images from a webcam, recognizes faces, and marks attendance in real-time.\n\n## Table of Contents\n\n- [Features](#features)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Dependencies](#dependencies)\n- [Project Structure](#project-structure)\n- [License](#license)\n\n## Features\n\n- Real-time face detection and recognition.\n- Marking attendance with timestamp.\n- User-friendly interface built with Streamlit.\n- Storage of attendance records in CSV format.\n- Easy to add new faces to the recognition system.\n\n## Installation\n\n1. **Clone the repository:**\n\n   ```bash\n   git clone https://github.com/your-username/face-recognition-attendance-system.git\n   cd face-recognition-attendance-system\n   ```\n\n2. **Create a virtual environment:**\n\n   ```bash\n   python -m venv venv\n   source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n   ```\n\n3. **Install the dependencies:**\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. **Download the pre-trained face detection model:**\n\n   Download the `haarcascade_frontalface_default.xml` file from [OpenCV GitHub](https://github.com/opencv/opencv/tree/master/data/haarcascades) and place it in the `models` directory.\n\n## Usage\n\n1. **Run the Streamlit app:**\n\n   ```bash\n   streamlit run app.py\n   ```\n\n2. **Adding New Faces:**\n   - Use the \"Add New Faces\" section to capture and store new faces.\n   - Provide the name of the person and capture their face using the webcam.\n\n3. **Marking Attendance:**\n   - Go to the \"Mark Attendance\" section.\n   - The app will use the webcam to recognize faces and mark attendance.\n\n4. **Viewing Attendance Records:**\n   - Check the \"Attendance Records\" section to view the stored attendance data.\n\n## Dependencies\n\n- Python 3.x\n- Streamlit\n- OpenCV\n- NumPy\n- Pandas\n\n## Project Structure\n\n```\nface-recognition-attendance-system/\n├── app.py                  # Main Streamlit application\n├── face_recognition.py     # Face recognition logic\n├── attendance.py           # Attendance marking logic\n├── data/                   # Directory to store face images and attendance records\n│   ├── faces/              # Subdirectory for storing face images\n│   └── attendance.csv      # CSV file for storing attendance records\n├── models/                 # Directory for storing machine learning models\n│   └── haarcascade_frontalface_default.xml  # Pre-trained face detection model\n├── requirements.txt        # List of dependencies\n└── README.md               # Project README file\n```\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n---\n\nFeel free to customize this README file to better suit your project's needs.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayankghatawal%2Ffacerecognisation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmayankghatawal%2Ffacerecognisation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmayankghatawal%2Ffacerecognisation/lists"}