Face-Emotion-Gender-and-Age-Detection

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# Face Emotion, Gender, and Age Detection

This repository provides **pre-trained models** and code for detecting **facial emotions, gender, and age** from images or video streams.  

The models can be used for **inference, transfer learning, or research purposes**.  

## 🚀 Tasks

- **Emotion Detection** → Classifies faces into multiple emotions (happy, sad, angry, neutral, etc.)
- **Gender Classification** → Predicts gender (male/female)
- **Age Estimation** → Predicts approximate age group

## 📦 Available Files

- Pre-trained models (`.h5` / `.hdf5`)
- Jupyter Notebook (`.ipynb`) for training & inference
- Example datasets links

## ⚡ Quick Usage

You can clone this repository with:

```bash
git clone https://huggingface.co/saifftunio/Face-Emotion-Gender-and-Age-Detection

📊 Datasets Used

• FER-2013 → Facial Emotion Recognition
• IMDB-WIKI → Age & Gender dataset
• Custom datasets with facial annotations

🛠️ Tech Stack

• Python
• TensorFlow / Keras
• OpenCV
• NumPy / Pandas
• Jupyter Notebook

✨ Future Plans

• Add real-time webcam demo using OpenCV
• Improve face alignment & preprocessing
• Provide ready-to-use API or Web App deployment

🤝 Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or submit a pull request.

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🔗 For GitHub source code: Face-Emotion-Gender-and-Age-Detection