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| title: Alzheimer's Detection AI | |
| emoji: 🧠 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Alzheimer's Detection AI Model | |
| This application uses a deep learning model to detect and classify different stages of Alzheimer's disease from MRI brain scans. | |
| ## Features | |
| - **Real-time Analysis**: Upload MRI images for instant classification | |
| - **Multi-stage Detection**: Identifies 4 different stages: | |
| - Non Demented (Healthy) | |
| - Very Mild Demented | |
| - Mild Demented | |
| - Moderate Demented | |
| - **Confidence Scoring**: Provides prediction confidence levels | |
| - **User-friendly Interface**: Clean, intuitive Gradio interface | |
| ## How to Use | |
| 1. Upload an MRI brain scan image | |
| 2. Click "Submit" to analyze | |
| 3. View the predicted stage and confidence score | |
| ## Model Information | |
| The model is trained using TensorFlow/Keras and processes 64x64 pixel MRI images to classify Alzheimer's progression stages. | |
| ## Disclaimer | |
| This tool is for educational and research purposes only. It should not be used as a substitute for professional medical diagnosis or treatment. |