文件列表:

client/
server/
LICENSE

# Smart Attendance System Smart Attendance Management System is an application developed for daily attendance of student/ staff in colleges or schools or any other organizations. This project attempts to record attendance through face detection and live location. The objective of this project is to develop a system for managing attendance that can be used by all individuals in educational institutions or in any organization. This software requires to store the user's own image to be detected. The system will load the user’s image at the sign-up step. For giving attendance the user needs to sign in and the real time image of the user will be captured to take the attendance and it will be matched with the stored image of the person. The proposed system records attendance without allowing any chance of proxy attendance by the students. The administrator maintains the database. After verifying the user, the attendance will be taken, and it will be saved in an excel sheet with their live location and time of attendance. In this approach, face recognition and face detection are used. This face detection differentiates faces from non-faces and is therefore essential for accurate attendance. The other strategy involves face recognition for marking the accurate attendance of the students. ## Table of Contents - [Features](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#features) - [Prerequisites](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#prerequisites) - [Installation](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#installation) - [Technologies Used](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#technologies-used) - [Contributing](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#contributing) - [License](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/#license) ## Features - `Facial Recognition`: Utilizes the face-recognition library to recognize faces for attendance tracking. - `Responsive UI`: A responsive and dynamic user interface developed using React, Redux, and Material UI. - `Database`: Stores data in a PostgreSQL database for efficient data management. - `Cloudinary Integration`: Manages photo storage using Cloudinary, ensuring scalability and accessibility. ## Prerequisites Before you begin, ensure you have met the following requirements: - Node.js and yarn installed on your system. - Python and pip should be installed in your system ([Documentation](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/https://medium.com/geekculture/make-your-first-web-app-with-django-python-in-a-virtual-environment-4cce2241031d)). - Make sure you have installed Django globally or have a Django virtual environment. - Create a cloudinary account. - Enable unsigned uploading to cloudinary ([Documentation](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/https://medium.com/@aalam-info-solutions-llp/how-to-upload-images-to-cloudinary-with-react-js-ad402f775818)). ## Installation 1. Clone the repository: ```bash git clone git@github.com:asheshmandal2003/smart-attendance-system.git ``` 2. Navigate to the project directory: ```bash cd smart-attendance-system ``` 3. Setup the `.env` files using `.example.env` file in the corresponding directory. 4. Run the backend server ```bash cd server pip install -r requirements.txt python manage.py runserver ``` 5. Run the frontend server: ```bash cd client yarn yarn dev --port 3000 ``` 6. Open your browser and navigate to `http://localhost:3000`. ## Technologies Used - `Backend`: Django, face-recognition library, Django REST Framework - `Frontend`: React.js, React Router Dom, Redux.js, Material UI - `Database`: PostgreSQL - `Photo Storage`: Cloudinary ## Contributing - Fork the repository. - Create a new branch: git checkout -b feature/new-feature. - Make your changes and commit them: git commit -m 'Add new feature'. - Push to the branch: git push origin feature/new-feature. - Submit a pull request. ## License This project is licensed under the [MIT License](https://github.com/asheshmandal2003/smart-attendance-system/blob/master/https://github.com/asheshmandal2003/smart-attendance-system/blob/main/LICENSE).

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：