Welcome to Medical Injury Detection, a cutting-edge application powered by OpenAI's GPT-4 Vision model. This innovative tool is crafted to aid medical professionals and researchers in the analysis and interpretation of medical images, focusing on injury detection.

• Image Upload: Users can upload an injury image for detailed analysis.
• Advanced Analysis: Employs the GPT-4 Vision model for in-depth examination of the uploaded injury images.
• Comprehensive Reporting: Offers a downloadable report including a diagnosis and a follow-up plan.
• Interactive User Experience: Allows for the addition of detailed descriptions about the image, enhancing the accuracy of the analysis.
• Streamlit Interface: A user-friendly interface ensures easy usage and interaction.

1. Upload Image: Users upload an image depicting a medical injury.
2. Add Details: Optionally provide additional information about the image for a thorough analysis.
3. Analyze: Leveraging the GPT-4 Vision model, the application analyzes the image and produces a detailed report.
4. Download Report: Users can download the generated diagnosis and follow-up plan for medical use.

Medical Injury Detection is developed by Jamall Winn, a forward-thinking innovator in medical technology and AI applications.

• LinkedIn: Jamall Winn
• Instagram: @jamall.w

This project is licensed under the MIT License - see the LICENSE.md file for details.

For further information or support, please reach out to Jamall Winn via his LinkedIn or Instagram profiles.

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