Inspiration

From past relatives who have suffered from strokes, we come from an empathetic standpoint to prevent others from facing the same experiences.

What it does

Use blood circulation in a user's face to detect heartbeat and facial droop, and FAST, which is F-Face, A-Arms, S-Speech, T-Time, to detect a stroke.

How we built it

Used Python to code a program that uses facial blood circulation to calculate BPM and facial droop to detect strokes.

Challenges we ran into

Combining all the code into one website.

Accomplishments that we're proud of

Working together to find a way to code a stroke detection system.

What we learned

Finding a way to use facial blood circulation to calculate BPM.

What's next for CareSense

Further revolutionizing medicine/ online health as well as telehealth.

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