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DermaCheck

This is the code for the DermaCheck project part of the JKU Master Course: Engineering of AI-Intensive Systems

  • Team Members:

    • Dimitrios Kastanis, k01135457 (Master AI) & Bairam Kuliev k12438981(Master Computer Science)
  • DermaCheck's Trello Kanban Board:

  • DermaCheck's Google Drive:

  • DermaCheck's Presentation Video URL:

  • Instructions:

    • Download the code provided
    • Run the Python code on Visual Studio Code (app.py)
    • On your browser, register to the DermaCheck app with your preferred credentials
    • Log in to the DermaCheck app
    • Load your image. If the image does not correspond to a skin lesion, you'll be notified and should repeat the process with a new image.
    • View the results of the image classification.
    • In case of positive results, you can use the finder of nearby dermatologists provided in the right sidebar, and please keep in mind contacting any preferred dermatologist in your area.
    • Please take a look at the details of skin lesions in the left sidebar to learn about the various types.
  • Data Privacy Notice:

    • The images you upload are processed locally on your machine and deleted after 10 minutes.
  • Data Ethics Notice:

    • Image processing occurs locally to minimize privacy risks and adheres to ethical standards in data handling
  • Google API Disclaimer:

    • The Google API is used to find dermatologists in your area.
    • The API is called when you click on the "Find Dermatologists" button.
    • The API returns a list of dermatologists based on your location.
    • The results are displayed in the right sidebar of the app.
  • Google API Key Usage:

    • The API key is private and should not be shared publicly. It will be valid until July 31st, 2025.
  • Support:

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DermaCheck project for Engineering of AI-Intensive Systems

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