This Django web application is designed to classify passwords into three categories based on their strength. It utilizes a machine learning model trained on various features of passwords to evaluate their complexity and security level. This guide covers setup, usage, and development instructions.
- Python 3.8+
- Django 3.2+
- TensorFlow 2+
- Scikit-Learn
- Pandas
- NumPy
- Clone the repository:
git clone <repository-url>
- Install required Python packages:
pip install -r requirements.txt
- Navigate to the project directory and run the Django server:
python manage.py runserver
- Access the web application through your browser at
http://localhost:8000/. - Enter a password into the provided input field.
- Submit the form to receive the password strength classification.
This application is built using Django, a high-level Python web framework that encourages rapid development and clean, pragmatic design. The password strength classification is powered by a TensorFlow model, utilizing a Sequential neural network architecture for categorization.
views.py: Contains the logic to handle requests and responses, including the classification of password strength.models.py: Defines the data models (if any) used by the application.urls.py: Configures the URL dispatcher with paths to the application's views.keras_model.py: Contains the TensorFlow model architecture and training logic used for password strength classification.
The machine learning model can be retrained or adjusted by modifying keras_model.py. Ensure you have a dataset of passwords labeled by their strength levels to train the model effectively.