Test Portal using Face Recognition

This project is an online test portal that utilizes face recognition technology to authenticate users and provide a secure testing environment. The system identifies and verifies the test takers' faces to ensure the authenticity of the participants.

Features

• Face recognition-based user authentication
• Secure test environment
• User registration and management
• Test creation and management
• Test-taking functionality
• Scoring and result generation

Technologies Used

• Python
• Django (Python web framework)
• OpenCV (Open Source Computer Vision Library)
• CNN (Machine learning algorithm)
• HTML, CSS, JavaScript (Front-end development)

Screenshots

Installation

1. Clone the repository:

   git clone https://github.com/akanksha2911/FiyePr.git
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Change the path of files as relative path is not specified.

4. Set up the database:

   Create your own dataset using generate.py for each face. The generate.py will create folder of all faces which will be used for training the model. Update the ResultsMap.pkl and classifier_model.h5 file based on your trained dataset.

5. Run the application:

   cd Quiz2
   python manage.py runserver
   

6. Access the application in your browser at http://127.0.0.1:8000/.

Usage Steps

1. Log in using your credentials.
2. The system will use face recognition to verify your identity.
3. Create a new test or select an existing one.
4. Start the test and follow the instructions.
5. Submit the test, and your score will be displayed.
6. Being a superuser you can even add quiz, questions.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.