Inspiration
Our inspiration for this project was thinking about the ways in which we would approach an emergency situation. In certain situations, we realized that there are certain situations where we would need key medical information on hand; for example, if someone were eating a dinner and suddenly their friend couldn’t breathe, first responders would waste time trying to contact emergency contacts, gain the context of the situation, and also could administer solutions that the person might be allergic to.
What it does
Our project is a QR which allows emergency responders to access medical information about people in a quick and timely manner. Current solutions either vary by OS, or don’t provide guidance during the emergency, which we provide through an AI chatbot. How it works is that people can sign in either as a responder, scanning the QR code, or as a consumer, creating a QR code to be scanned with their personal information.
How we built it
We built this project by first looking at tools like Claude in order to have an initial idea of what the finished product could look like. We then used software like Visual Studio Code, Git, etc. in order to build a product that would be able to withstand the test of time, getting help from AI tools like Deepseek AI and ChatGPT.
Challenges we ran into
We ran into challenges picking the right idea that would fit into the strengths of our team. We initially tried to solve a problem that was way beyond our scope, but we quickly realized that it’s better not to overcomplicate our ideas and stick within something that we could all work at. We also ran into problems with code written in VSCode not actually being pushed to Github, which we solved by using PowerShell to write changes to documents instead of just relying on VSCode’s internal editor.
Accomplishments that we're proud of
We’re proud of creating something that works with the time constraints given, given that 3 of the 4 people on our team are first time hackathoners. We’re also proud of our idea, as it seems like it could have some real application in the real world.
What we learned
We learned, firstly, that teamwork is important for optimizing efficiency. Initially, the group was working on various different apps and in different repositories, but by the end of the hackathon, we all came together working on the same solution. We also learned that it’s important to have fun while coding, as the final pieces of code and issues were worked through during the Karaoke session that was hosted by HackPrinceton.
What's next for HelpisHere
We hope to see if we can get this out of a coding platform and into phones around the world. There are, of course, various tweaks and edits that would need to be made in order to make it compatible with wearable devices, but once it is compatible it could be incorporated into systems around the world. As AI technology gets better, this product will only get stronger and stronger.
Built With
- and
- css-21.9%
- github
- html-1.4%
- other
- python-30.5%
- various-ai-tools-languages:-javascript-44.9%
- vs-code-editor

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