Welcome to the Face Attendance System App! This Python-based application utilizes the InsightFace library for face recognition and Streamlit for its frontend. Developed by Harsh Vaidya, this app provides a convenient way to manage attendance using facial recognition technology.
To run this attendance system app, follow these steps:
- Clone the Repository: Clone this repository to your local machine using the following command:
2.Install Dependencies: Navigate to the project directory and install the required dependencies by running: pip install -r requirements.txt
- Run the Application: Launch the application by executing the following command: streamlit run app.py
Access the App: Once the application is running, open your web browser and navigate to http://localhost:8501 to access the Face Attendance System App.
Contributors Harsh Vaidya - Lead Developer Support For any inquiries or support regarding the Face Attendance System App, please contact Harsh Vaidya at [email protected].