Skin Defect Checker

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Have you ever worried about a part of your skin changing oddly but you have thought it was minor and have not immediately gone to the doctor? But then you searched for your symptoms on Google to learn more about it, but all you got were just tons of website insisted that you just got “skin cancer”? This is why we have developed the SDC application, or Skin Defects Checker, to help you with reliable advice on your symptoms. The application is developed on the iOS platform, with Machine Learning as its backbone. We have trained a model using an available data set (HAM10000) to detect whether you actually have skin cancer with decent accuracy.

Have you ever worried about a part of your skin changing oddly but you have thought it was minor and have not immediately gone to the doctor? But then you searched for your symptoms on Google to learn more about it, but all you got were just tons of website insisted that you just got “skin cancer”? This is why we have developed the SDC application, or Skin Defects Checker, to help you with reliable advice on your symptoms. The application is developed on the iOS platform, with Machine Learning as its backbone. We have trained a model using an available data set (HAM10000) to detect whether you actually have skin cancer with decent accuracy.

Inspiration

Have you ever worried about a part of your skin changing oddly but you have thought it was minor and have not immediately gone to the doctor? But then you searched for your symptoms on Google to learn more about it, but all you got were just tons of website insisted that you just got “skin cancer”? This is why we want to develop a mobile application to relieve your concerns.

What it does

We have developed the SDC application, or Skin Defects Checker, to help you with reliable advice on your skin’s symptoms.

How I built it

The application is developed on the iOS platform, with Machine Learning as its backbone. We have trained our model using an available data set (HAM10000) to detect whether you actually have skin cancer with decent accuracy.

Challenges we ran into

Connecting the backend and frontend of the application

Accomplishments that I'm proud of

Trained a machine learning model, created an application on swift, designed the logo for the application

What I learned

Machine Learning, Transfer Learning, Swift, Vectornator X

What's next for Skin Defect Checker

More dataset to improve the model Different architecture Better UI Doctor verification

Built With

• python
• swift
• tensorflow