tl;dr – Introduction of the project »Flarelines«, a symptom tracking app for Lupus patients using small language models on device.
The elevator pitch would be as follows: Lupus is a chronic autoimmune disease. Studies have shown that keeping track of such an illness using journaling helps cope with the disease. Also having a better understanding auf the progression of the illness helps when talking to your medical health practitioner. Flarelines uses small language models (SLM) on device to categorize symptoms into 4 categories. From 0 to 3 where 0 is no activity and 3 is strong flares. I am using it for myself. Did the whole LORA fine tune pipeline with Qwen 2.5 locally using some of my own journals and synthetic data. The application is also done using Opus 4.5 and 4.6 in Swift.