anesthEASEia

Inspiration

A family member of one of the team went into surgery.

What it does

It measures the amount of anesthesia that a patient is under and then is able to predict whether the patient will need further amounts of anesthesia, less amounts, or if they need to be held at a constant (job of an anesthesiologist)

How we built it

We wrote the frontend in react-js, and our backend was written in Python using ML

Challenges we ran into

None of us knew frontend or Machine Learning coming into this project, and our initial ideas had to be scrapped due to being too much for just the 36 hour hackathon.

Accomplishments that we're proud of

We finished our project despite our initial setbacks and supreme lack of knowledge.

What we learned

We learned a lot of skills (front end development, machine learning, etc), and also how to work as a team, communicate issues, inquiries, ideas with each other