This project implements a Gender and Gesture Recognition system using deep learning techniques with TensorFlow and Keras. The model is designed to classify genders and recognize gestures from input images or videos, aiming to enhance safety and interaction in various real-world scenarios.
- Gender Recognition: Classifies gender based on facial features.
- Gesture Recognition: Detects and classifies hand gestures.
- Real-time Processing: Supports real-time gender and gesture recognition via webcam or video input.
- Deep Learning Models: Built with TensorFlow and Keras.
To run this project, you need the following dependencies:
- Python 3.x
- TensorFlow
- Keras
- OpenCV
- NumPy
- Matplotlib
You can install the required packages using:
pip install tensorflow keras opencv-python numpy matplotlib