Skin Disease Detector

This npm package contacts a backend server, (hosted on Heroku: https://ai-skin-server.herokuapp.com/url is where it makes POST requests). Supports png and jpg file formats. Chooses between 16 skin conditions (listed below), or no-conditions

Full docs: https://joshyzou.gitbook.io/skinapi/

Usage

const skinAi = require("@joshyzou/skinconditiondetector")

skinAi("https://img.webmd.com/dtmcms/live/webmd/consumer_assets/site_images/articles/health_tools/lupus_overview_slideshow/dermnet_rf_photo_of_butterfly_rash.jpg")
    .then(res => res.json())
    .then(json => console.log(json));

  

//will return an object like this: 
{ status: 'ok', type: 'lupus' confidence: 1}

Conditions and Accuracy

|Condition|Accuracy |-|Condition|Accuracy| |--|--|--|--|--| | Acne | 95% ||Psoriasis|75%| |Actinic Keratosis |95%||Ringworm|83%| |Basal Skin Carcinoma|93%||Rosacea|89%| |Blisters|70%||Vitiligo|87%| |Cellulitis|95%| |Chicken Pox|93%| |Cold Sore|74%| |Keratosis Pilaris|91% |Lupus|81%| |Measles|81%| |Melanoma|95%| |Melasma|79%|