FaceTraitsAnalyzer is a Django web application designed for age and gender detection in images. Leveraging the power of OpenCV and pre-trained models, this application allows users to upload images and receive real-time analysis of facial features. This is a Django web application that performs age and gender detection on uploaded images using OpenCV and pre-trained models.

• Age Detection: Accurately estimates the age range of individuals in uploaded images. 🎂
• Gender Detection: Identifies the gender of faces with high precision. ♂️♀️
• User-Friendly Interface: Intuitive web interface for seamless image upload and result presentation. 🌐
• Visual Insights: Presents detection results overlaid on the uploaded images for a comprehensive analysis. 📊

.
├── Dockerfile
├── README.md
├── age_gender_detection_app
│   ├── __init__.py
│   ├── __pycache__
│   │   ├── __init__.cpython-310.pyc
│   │   ├── admin.cpython-310.pyc
│   │   ├── apps.cpython-310.pyc
│   │   ├── forms.cpython-310.pyc
│   │   ├── models.cpython-310.pyc
│   │   ├── urls.cpython-310.pyc
│   │   └── views.cpython-310.pyc
│   ├── admin.py
│   ├── age_deploy.prototxt
│   ├── age_net.caffemodel
│   ├── apps.py
│   ├── forms.py
│   ├── gender_deploy.prototxt
│   ├── gender_net.caffemodel
│   ├── migrations
│   │   ├── 0001_initial.py
│   │   ├── __init__.py
│   │   └── __pycache__
│   │       ├── 0001_initial.cpython-310.pyc
│   │       └── __init__.cpython-310.pyc
│   ├── models.py
│   ├── opencv_face_detector.pbtxt
│   ├── opencv_face_detector_uint8.pb
│   ├── templates
│   │   ├── result.html
│   │   └── upload_image.html
│   ├── tests.py
│   ├── urls.py
│   └── views.py
├── age_gender_detection_project
│   ├── __init__.py
│   ├── __pycache__
│   │   ├── __init__.cpython-310.pyc
│   │   ├── settings.cpython-310.pyc
│   │   ├── urls.cpython-310.pyc
│   │   └── wsgi.cpython-310.pyc
│   ├── asgi.py
│   ├── settings.py
│   ├── urls.py
│   └── wsgi.py
├── compose.yaml
├── db.sqlite3
├── manage.py
├── media
│   └── uploads
│       ├── 1487718277-screen-shot-2017-02-21-at-60424-pm.png
│       ├── Screenshot_2023-12-26_204504.png
│       ├── istockphoto-1147066751-612x612_h4qn96t.jpg
│       └── result.png
└── requirements.txt

• Python 3
• Django
• OpenCV

1. Clone the repository:

   git clone https://github.com/octonawish-akcodes/FacialTraitAnalyzer.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Apply migrations:

   python manage.py migrate

4. Run the development server:

   python manage.py runserver

   The app should be accessible at http://127.0.0.1:8000/age_gender/.

   My 8000 port was busy so I used 8001.

1. Pull the Docker image from Docker Hub:

   docker pull abhidocker12/age_gender_detection:latest

2. Run the Docker container:

   docker run -p 8000:8000 abhidocker12/age_gender_detection:latest

   Access the Django application in your web browser at http://localhost:8000/age_gender/upload/.

1. Visit http://127.0.0.1:8000/age_gender/upload/ in your web browser.

2. Upload an image using the provided form.

3. Click "Submit" to perform age and gender detection.

4. View the detection result, including the detected image, gender, and age.