Inspiration

Our project is inspired by our biology. Cells use information cascades to run billions of processes per minute with an astounding lack of error. By establishing error identification between each step of appointment applications, we mimic the efficiency of our biology.

What it does

It provides a streamlined interface that guides both disabled and general patients to the exact resources they need to secure an appointment with a professional that works for them and understands their needs. It removes the cluttered information barrage that many current application systems have.

How we built it

We built a frontend system with AI resources that includes a professional page and a patient page, coding in JSX to increase efficiency and debugging through scrutiny. We also built a backend system that saves patient profiles to a database, assigns them unique usernames and passwords, and allows specific professionals to access their patients' profiles.

Challenges we ran into

There were many bugs with the visual AI frontend, but we used knowledge of pixel math and sine waves to fix the visual issues.

Accomplishments that we're proud of

It was a real task to complete such a large project as a team of just two, both at our first Hackathon ever. The experience was fun and gave us a look into the real life of a software developer.