CGM Pattern Analyzer
- 4 Devlogs
- 3 Total hours
This Flask app converts Dexcom-style CGM CSV data into an evidence-first report.
Changed a lot of the html to give it a better look. I think it looks way better since I did it myself. The creme and teal color way is kind of nice honestly, and new button on the top bar to reset everything is also pretty sick. It’s supposed to be like a drop of blood to represent like a finger prick. I plan to do improve the prompt calling in the future because it’s a little bare right now. I also need to somehow make the API calling faster because the wait time is quire slow. Honestly I think I need to spend money for that. I realized a lot of people can’t really use this either so I might need to make a mock CSV and add it so people can try it out. Next update I’ll probably add a downloadable one people can use.
Changed up the HTML a little to make it less AI
Ship #1
Changes requested
Finally got this up on a demo url that works with my API #lesguooooooo
This is my CGM Pattern Analyzer. Basically what it does is that it uses an API to analyze lots of data (and I mean a lot like 24/7 data from 90 days that records every 5 minutes (for any non-cgm wearers ;))). I’ve used it with my own data and it works well. It makes sure not to diagnose patients because that would be kinda bad, but it helps analyze patterns and common phenomena with diabetic patients. It took lots of work but we did it!
