AI Face Analysis System

An AI-powered face analysis system that detects faces, analyzes sentiments, estimates ages, and classifies skin types while providing dermatology insights for personalized skincare recommendations.

---

🚀 Features

✅ Face Detection – Accurate face localization
✅ Sentiment Analysis – Identifies facial expressions and emotions
✅ Age Estimation – Uses deep learning to predict age
✅ Skin Type Classification – Detects dry, oily, acne, or normal skin
✅ Dermatology Insights – Skincare suggestions

---

🛠️ Technologies Used

• TensorFlow/Keras
• OpenCV
• MobileNetV2 CNN

---

📦 Installation

# Clone the repository
git clone https://github.com/mmorsi4/face-analysis.git

---

🚀 Usage

1. Run the Jupyter Notebook (.ipynb).
2. Press SPACE to make a prediction.
3. Press Q to exit the program.

---

📚 Dataset & Pre-trained Models

This system is trained on datasets such as:

• FER-2013 (for sentiment analysis)
• UTKFace (for age estimation)
• Face Skin Type (for skin classification)

---

👥 Authors

This project was created by:

• Yahia-Raouf
• kariiim001
• Mai-Fakhry
• YasminaNasser
• mmorsi4
• OmarSamehShaker

Proudly developed with 💡 and 💻!