An application to accurately detect Lyme disease!
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Back when I was a young kid, I got bitten by a tick and developed this large, bullseye-shaped rash. Here's what it looks like:
Turns out, that was one of the damning symptoms of Lyme disease. Unfortunately, I wasn't able to get it diagnosed early enough, so I slowly lost control of my arms and legs over about a month. Eventually, I had to go to school in a wheelchair - It was bad.
Lyme actually has a pretty effective treatment; The problem is just in it's diagnosis. The rash that I got, though a pretty clear signal of Lyme, is often diagnosed as another type of disease. Here's an example of a rash that looks similar, but isn't Lyme:
So, the goal was to develop a system that could accurately diagnose Lyme disease from a picture of a rash. This updated version of the system takes advantage of the newest in computer vision tech - transformers - To provide even more accurate results with even less data. I'm excited to see where this project goes, and I hope that it can help a lot of people.
Credit where credit is due: I worked with Edward Zhang, a friend of mine, on the first version of this project back in school. He was a huge help - Be sure to check out his insta here!
Just so you know the extent of the problem, here are some statistics about Lyme disease:
- Lyme disease is the most common vector-borne disease in the United States
- In 2022, over 60,000 new cases of Lyme disease were reported.
- The CDC estimates that the actual number of cases is closer to 476,000
- Lyme can cause nerve problems, paralysis, meningitis, or even heart problems.
As you can see, it's a pretty big issue.
Hey, thanks for checking out the project! You can check out a video demo of the project here, or see the DEVPOST here. Sorry that you can't run the project locally - I'm having issues trying to find a place to host it. If you have any suggestions, feel free to hit me up!
Distributed under the GNU General Public License v3.0. See LICENSE for more information.
Teja koduru - @TJKoduru - [email protected]

