(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.

Show context

rfrey ◴[07 Sep 25 14:42 UTC] No.45158581[source]▶

>>45157020 (OP) #

Perfect use of AI assisted coding - a domain expert creating a focused, relatively straightforward (from a programming perspective) app.

@sungam, if your research agenda includes creating AI models for skin cancer, feel free to reach out (email in profile), I make a tool intended to help pure clinical researchers incorporate AI into their research programmes.

replies(1): >>45159330 #

1. sungam ◴[07 Sep 25 15:58 UTC] No.45159330[source]▶

>>45158581 #

Thanks, I am not currently doing research in this area - my lab-based research is mainly focused on the role of fibroblasts in skin cancer development

↑

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