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tripathi_saumil

@tripathi_saumil

Joined July 15th, 2026

  • 5Devlogs
  • 2Projects
  • 1Ships
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1h 27m 36s logged

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.

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50m 52s logged

So far I put some math in. It looks super Ai because I just needed an html to see all the stuff. It takes in all the stuff you put and then calculates it and makes graphs. My next goals are to make the html look better, make the UI better and simpler, and then later to add in API LLM to explain what’s going on. Maybe some simulation of the rocket too, but stick to simple goals for now.

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I made a completely free continuous glucose monitor analyzing device that is compatible with data from a Dexcom G6 and G7. This project is able to closely analyze trends and identify phenomena found commonly in said trends. Honestly, the most challenging part was definitely getting the API to work. Lots of the other things weren’t easy but they definitely weren’t as hard and API key installation. I would say I’m most proud of that honestly. One major thing to know about this project is that I’m using only free resources, so I kind of don’t have a lot of calls available on my API per day. It should be able to work at least 5-8 times depending on how much data is used.

  • 2 devlogs
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1h 1m 46s logged

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!

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