RecoveryOS

Inspiration

As of right now, every time a wellness professional meets a patient using the Hydrawave system, three main things happen. Before the session, there is no current way to understand where the dysfunction starts. During the session, there is no intelligence layer tracking and translating that understanding into the right protocol. And after the session, the door to recovery shuts when the patient walks out the door.

What it does

What we built is a parallel intelligence layer that runs alongside the practitioner, not replacing their judgment, but rather informing it. Before the session, our system tracks the patient via computer vision and maps their body asymmetry through base movements. During the session, it recommends the right Hydrawav3 protocol. After the session, it keeps the recovery journey alive through voice check-ins and a continuous recovery score, gamifying the post-session experience

How we built it

We built it using [insert]

Challenges we ran into

The main challenge we ran into is optimizing the computer vision to recognize the exercises we wanted and taking that information to be [parsed for the information we wanted from it, which is mainly heart rate, body asymmetry, breathing rate, etc.]

Accomplishments that we're proud of

We are proud to have made a system that closed the loop for Hydrawave that utilized computer vision, added the intelligence layer, and SuNa, a voice assistant that helps assist in processes from pre-session to post-session.

What we learned

We learned how to scale an application to production in a short 24-hour window, maximizing certain features and focusing more on production, and building a system to help close the loop between hardware to software and wellness professional to post session.