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Deep fake detection Django Application

Directory Structure

  • ml_app -> Directory containing code in views.py file
  • project_settings -> Contains Django settings and files to run in production
  • static -> Contains all css, js and json files (for face-api)
  • templates -> Template files for HTML

Step 2: Create virtualenv (optional)

python -m venv venv

Step 3: Activate virtualenv (optional)

venv\Scripts\activate

Step 4: Install requirements

pip install -r requirements.txt

Step 5: Copy Models

Copy your trained model to the models folder i.e Django Application/models/

Step 6: Run project

python manage.py runserver

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