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JavaScript 0.10% Python 0.21% CSS 0.08% HTML 0.19% Jupyter Notebook 99.40% Dockerfile 0.03%

dermatitisdetector's Introduction

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.

Tux, the Linux mascot



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. [email protected] (Iman Idris)

2. [email protected] (Dr Purushottam)

3. [email protected] (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/

dermatitisdetector's People

Contributors

michaelchoudhury avatar anurag avatar

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