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README.md

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 title: Age Detection Demo
-emoji: 🐢
-colorFrom: gray
-colorTo: blue
+emoji: 👶👴
+colorFrom: blue
+colorTo: purple
 sdk: gradio
-sdk_version: 5.45.0
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Age Detection Demo
+
+This is a demo of an age regression model trained on the UTKFace dataset. Upload a face image and the model will predict the person's age.
+
+## Model Information
+
+- **Model**: MobileNetV2-based regression model
+- **Dataset**: UTKFace
+- **Task**: Age estimation from face images
+- **Input**: RGB face image (224x224)
+- **Output**: Predicted age in years
+
+## Usage
+
+1. Upload a cropped face image (crop to face for best results)
+2. Click submit
+3. View the predicted age
+
+The model works best with:
+- Clear, well-lit face images
+- Images cropped to show mainly the face
+- Front-facing or near-front-facing poses
+
+## Model Repository
+
+The model is hosted at: [Sharris/age_detection_regression](https://huggingface.co/Sharris/age_detection_regression)
+
+## Limitations
+
+- This model provides age estimates for research and educational purposes
+- Results may vary based on image quality, lighting, and pose
+- The model reflects biases present in the training data
+- Not suitable for high-stakes decision making