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🧠 Age Detection Using Deep Learning

This project predicts a person’s age based on their facial image using a Convolutional Neural Network (CNN). It includes training the model on the UTKFace dataset and deploying it in a real-time webcam-based application.

📌 Features

• Predicts age from facial images using CNN
• Trained on the UTKFace dataset (20K+ images)
• Real-time age detection via webcam using OpenCV
• Age range classification for clearer output (e.g., "10–20", "28–45")

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🖼 Dataset

• Name: UTKFace Dataset
• Size: ~20,000 facial images
• Labels: Age (0–116), Gender, Ethnicity (only Age used here)
• Format: age_gender_ethnicity_date.jpg (age is extracted from the filename)

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🧪 Model Architecture

The model is a CNN built with TensorFlow/Keras: