The inspiration for the project came from personal experiences. Diabetes affects over 38 million people just in the United States and about 1 in 5 are not diagnosed. It's a very tricky and complex disease that requires constant managing and can be difficult for most people. DiabetesTrack takes health information from customers, such as height, weight, known genetic markers and predisposition, any important health documents, medications, etc. It then analyzes all the data provided and provides a risk analysis for the customer along with exercises, food, and nutrition requirements. We ensured to warn people that this app isn't a health professional and they should still get regular checkups and be in contact with their primary care doctor. We also ensured that the customers know it's HIPPA compliant and that their data won't be shared unless consented. We built it using base44 which is a website that lets us use prompt engineering to build the app, but this comes with it's own set of challenges such as knowing the exact technical wording to use to ensure we are getting the desired results. We also had to trouble shoot some of the sub-categories as they weren't working as intended. We are proud of the fact that we were able to work together efficiently to ensure out app was working the way we intended it to be, it was difficult to come up with something that was important to us but also would be extremely use to the general population. We learnt the specific technical wording for prompt engineering is very important and that we have to describe in extreme detail what we want it to do, if not it'll do something completely unintended. DiabetesTrack is going to try to help manage insulin levels for the next update and fix any minor issues going on.
Built With
- ai
- base44
- java
- ml

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