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Show HN: I'm a dermatologist and I vibe coded a skin cancer learning app

(molecheck.info)
422 points sungam | 1 comments | 07 Sep 25 10:38 UTC | HN request time: 0s | source

Coded using Gemini Pro 2.5 (free version) in about 2-3 hours.

Single file including all html/js/css, Vanilla JS, no backend, scores persisted with localStorage.

Deployed using ubuntu/apache2/python/flask on a £5 Digital Ocean server (but could have been hosted on a static hosting provider as it's just a single page with no backend).

Images / metadata stored in an AWS S3 bucket.

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redox99 ◴[07 Sep 25 14:33 UTC] No.45158491[source]▶
Are there an equal amount of cancer and non cancer images? In my case the vast majority (I'd say around 75%) are cancerous.
replies(1): >>45159635 #
1. sungam ◴[07 Sep 25 16:27 UTC] No.45159635[source]▶
You are right - the distribution is not equal largely because the dataset that I used had less pictures of harmless moles but I will aim to make it 50:50 in the next version