Skin Cancer Detection using Deep Learning | IEEE Projects for Computer Science 2024

Skin Burn Detection using Machine Learning

In this video, we will show skin burn detection system using image processing, user have to upload input image to software, the input image will be burned skin image and machine learning model is trained on large dataset of skin burn images and algorithm is used to train model, python programming language is used. after the model trained user have to used this model on detection code so that model can easily detect skin burn part.

Skin Burn detection is a very difficult task to identify burn are and its impact on body. This project has main objective to identify burn location and impact so that severity can measured to gave treatment. Solution is derived  CNN using Machine Learning Model.

Skin Burn Detection Using Machine Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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