CREATE ARRHYTHMIA DETECTION AI FOR IN CAR DRIVER MONITORING SYSTEM
35% of all fatal car accidents are caused by unfit drivers. Caire creates an AI that determines vital signs, such as the pulse curve, heart rate, breathing rate, blood pressure and oxygen concentration completely contactless from a video of a person’s face.
Your job is to extend the system to predict arrhythmia from the extracted pulse curve and integrate this into a futuristic dashboard design to inform drivers about their health status during driving. In this challenge you will create a UI for a car dashboard, handle live streaming of video data from in cabin camera to the Caire cloud API and develop a new machine learning functionality to detect arrhythmia from the returned pulse wave.
We will provide you with access to a real world PPG arrhythmia dataset to develop and validate your arrhythmia detection algorithm and provide you access to our cloud API for video processing.
Create a solution that can avoid accidents, provide faster response time for medical teams and help save lives!
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