Gender-and-Age-Prediction

The Gender-and-Age-Prediction project aims to use machine learning models to identify and predict an individual's gender and age from images.

Installation

Follow these steps to set up the project locally:

1. Clone the repository:

git clone https://github.com/your-username/Gender-and-Age-Prediction.git

2. Navigate to the project directory:

cd Gender-and-Age-Prediction

3. Install the required dependencies:

pip install -r requirements.txt

Usage

To use the project, follow these steps:

1. Run the prediction script with an image file:

python predict.py --image path/to/image.jpg

2. Check the output for the prediction results.

Requirements

The project requires the following dependencies:

• Python >= 3.6
• TensorFlow == 2.0
• Keras >= 2.3.1
• OpenCV >= 4.1
• Other dependencies listed in requirements.txt.

Contribution

To contribute to this project, take the following steps:

1. Fork the repository.
2. Create a new branch for your feature (git checkout -b feature/YourFeature).
3. Make your changes and commit them (git commit -am 'Add some feature').
4. Push the branch (git push origin feature/YourFeature).
5. Create a new Pull Request.

Results

The following images showcase the predicted gender and age for the input images using the project: