Inspiration
We were thinking about small ways AI could be used to improve our daily lifestyles and we decided to create a quick and easy way to interpret blood reports from labs apply advice to our lifestyles.
What it does
Our application automatically parses lab reports and then feeds it into an LLM to generate curated advice based on your metrics and demographic data.
How we built it
Our stack is made up of Fast API, Next JS, Postgres and Featherless.
Challenges we ran into
Trying to distinguish our website from a typical "chatgpt wrapper"
Accomplishments that we're proud of
First time doing a hackathon
What we learned
Planning is very important
Built With
- fastapi
- next
- postgresql
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