Gender Detection System

This project is a deep learning-based gender detection system using PyTorch. It includes model training, inference pipeline, and testing on images. The project utilizes facial features to predict the gender of individuals in images.

📁 Project Structure

Gender_Detection_System/
├── main.ipynb              # Main logic and pipeline for gender detection
├── Pipeline.ipynb          # Additional pipeline steps
├── best_Gender.pt          # Trained gender classification model
├── best_Classifier.pt      # Another model (e.g., classifier for feature extraction)
├── Testing_Images/         # Sample images for testing the model

🚀 Getting Started

Clone the Repository

git clone https://github.com/Muhamad-Usman55/Gender_Detection_System.git
cd Gender_Detection_System

Install Dependencies

pip install -r requirements.txt

Run the Code

Open main.ipynb in Jupyter Notebook and follow the steps to test gender prediction.

📦 Dependencies

• torch
• torchvision
• matplotlib
• numpy
• opencv-python
• PIL

🧠 Models

• best_Gender.pt: Pre-trained gender detection model.
• best_Classifier.pt: Auxiliary model (could be feature extractor or classifier).

🖼️ Sample Testing Images

Located in Testing_Images/ folder.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.