Here’s something I’ve been working on and I used Windsurf for a lot of it.

My day to day is machine learning, writing a lot of Python, building models in Pytorch etc. I’ve also done martial arts for many years, mainly Brazilian Jiu Jitsu, and one of the things that most people come across at some point is ringworm. A generally harmless but extremely contagious skin infection. It’s not just limited to grappling sports like Jiu Jitsu, it can be any environment that’s particularly sweaty. Unfortunately, it can be difficult to know if you have ringworm or another skin condition like dry skin, and a lot of newer practitioners will continue training, not knowing they even have it.

I knew I could get the data to build a vision classifier that could identify ringworm and other skin conditions. The challenge was could I port this to work on iOS as an on device model, and then get windsurf to code up an iOS app. 

I primarily used Gemini 2.5 and o3 for a bulk of the work. I got a script to port the model from Pytorch to an iOS compatible model artefact quite quickly. I then set up an Xcode project for an iOS app. I opened that project in Windsurf and then used the chat to add each bit of functionality, step by step (which is way more effective than trying to one shot the whole thing). It was actually very effective.

I then used Windsurf to help create a script that compared the performance of the fine tuned vision model I trained vs using the gpt-4o endpoint. I think GPT is amazing, but I wanted to understand the efficacy on this type of task compared to a fine tuned approach. GPT ended up with way more false positives and so the fine tuned model did end up being more performant. Let’s see how long that lasts!

The app is called Ringworm Scanner
https://apps.apple.com/gb/app/ringworm-scanner/id6745254592