Inspiration
After seeing the Arthrex Company Challenge, our team decided to incorporate ChatGPT in a way that could help streamline the processes behind datasets medical professionals would have to deal with.
What it does
Using python we accept a dataset of patients, remove duplicate entries, and assign priorities to patients based off the severity of the injuries. ChatGPT assigns these severities. There is also a JavaScript file that creates a randomly generated list for use in the project, as we don't have real data to work with.
How we built it
The contents of our project include Python and JavaScript. We also connect with OpenAI's ChatGPT API.
Challenges we ran into
We initially wanted to use C++, but found documentation around its use with the ChatGPT API challenging to understand. Python has easier functionality with JSON, which was important to the project, so multiple team members had to learn it on the fly.
Accomplishments that we're proud of
Our use of the ChatGPT API, Learning Python for the project, Interacting with JSON, Use of Prompt Engineering.
What we learned
Python, ChatGPT API, JSON format, Time Management, Team Coordination,
What's next for Ask ChatGPT
Finishing our Degrees with our new experiences from this Hackathon
Built With
- chatgpt
- javascript
- json
- python
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