MichaelChoudhury / dermatitisDetector

Attribution: All code sourced from fastai course 2019.

Final (Team Project - Build a Startup)

Midterm project has been converted to an Android app and displayed through an emulator - screenshot below.

The iOS and Android versions of the app can be accessed at:

https://appetize.io/app/30xc5a30au77up4fmrj6rv5cy0?device=nexus5&scale=75&orientation=portrait&osVersion=8.1

Click 'Tap to play'

Click 'Add Media' to add images to the device.

Click 'Upload image'

The Android APK file "dermatitisdetector.apk" will be included in this repository.

Midterm Assignment (Build an AI Startup)

The production deployment of the app: https://dermatitisdetector.onrender.com/

Team members:

1. [e-mail] (Iman Idris)

2. [e-mail] (Dr Purushottam)

3. [e-mail] (Michael Choudhury)

Classification service for trainee dermatologists to help diagnose skin diseases using a simple web app programmed in Python-3.

ML/DL frameworks used: Fastai computer vision; PyTorch

How to use the web app?

• Choose an image of a case of eczema, measles, or melanoma using google or take a photo using a smart phone

• Save the image to your PC

• Upload the image to the app

• Click the 'Analyze' button

• Read the result

https://dermatitisdetector.onrender.com/