5hyfilm-zz / skinfine

Web Application for analysing and classifying initial assessment of dermatitis. It's just as easy as taking a photo with your smartphone.

Home Page:https://skinfine.azurewebsites.net

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SkinFine

This website is a development based on experiments Skin Disease Classification Using Machine Learning developed using Flask, HTML, CSS, and JavaScript.

Usability

It can classify 4 types of skin diseases

Non-dangerous skin diseases These classes no need to consult a doctor.

  • Atopic Dermatitis [ad]
  • Normal [nm]

Dangerous skin diseases These classes need to consult a doctor.

  • Psoriasis [ps]
  • Seborrhoeic Keratosis [sk]

How to use

  1. Clone or download this repository.
  2. Change directory by type cd skinfine in terminal.
  3. Create virtualenv by type python3 -m venv venv in terminal.
  4. Activate virtualenv by type source venv/bin/activate in terminal.
  5. Install all requirements by type pip3 install -r requirements.txt in terminal.
  6. Run flask run in terminal.
  7. Open localhost http://127.0.0.1:5000 in your browser.

Demo screenshot and video

Screenshot

Video

About

Web Application for analysing and classifying initial assessment of dermatitis. It's just as easy as taking a photo with your smartphone.

https://skinfine.azurewebsites.net


Languages

Language:HTML 70.9%Language:CSS 15.6%Language:Python 12.8%Language:JavaScript 0.5%Language:Dockerfile 0.3%