FaceAgeMood 🎭📅

FaceAgeMood is a dual deep learning project that uses facial images to perform age prediction and emotion detection. This project demonstrates how a single dataset can be used for multiple facial analysis tasks.

📁 Dataset

This project uses the UTKFace (new) dataset from Kaggle.

The dataset contains over 20,000 facial images labeled with:

• Age
• Gender
• Ethnicity

Although the dataset doesn't include emotion labels by default, I leveraged facial expressions from the images for an experimental emotion detection task.

🧠 Notebooks

Notebook	Description
Age_prediction.ipynb	Predicts age from facial images using a convolutional neural network (CNN).
emotion-detection.ipynb	Detects emotion from the same UTKFace images using a custom approach.

🛠️ Features

• Image preprocessing using OpenCV and TensorFlow/Keras
• CNN architectures for both age and emotion tasks
• Custom data labeling and augmentation for emotion prediction
• Evaluation metrics and visualizations for performance insight

Main libraries used:

TensorFlow / Keras

OpenCV

Matplotlib

NumPy

scikit-learn

📜 License

This project is open-sourced under the MIT License. 🙋‍♂️ Author

Made with ❤️ by Tareq