This project demonstrates gender classification using a deep learning model. Given an image or live feed from a camera, the model detects faces and predicts the gender of each detected face.

1. Install the required dependencies by running the following command:

   pip install -r requirements.txt

2. Activate the virtual environment (if applicable):

   source/bin/activate

• Deep learning model is used for gender classification.
• The dataset used for training the model is not publicly available. For access to the dataset, please contact the project owner via email at [email protected].
• The model achieves an accuracy of approximately 80%, but it can be further improved with additional training data and fine-tuning.

Run the main Python file:

python main.py

To use video inputs or live feed from a camera, simply run the code or you can update the code according to your specific needs. Please refer to the relevant sections of the code and make the necessary modifications.

Contributions are welcome! If you find any issues or want to enhance the functionality of the project, please feel free to submit a pull request.

For any questions or suggestions, please contact the project owner at [email protected].