Chiemerie Onyeanusi

I have a business idea I want to bring to life

The project I am most proud of building is Kineo, an autonomous health assistant I co-developed during the Apple PROPEL National Innovation Challenge. We saw an opportunity to bridge the gap between physical recovery and intelligent clinical scheduling. Our goal was to build an application that didn't just passively track workouts, but actively aided in clinical recovery and adaptive health management. As the technical architect, I engineered a 3D movement pipeline utilizing Apple's Vision Framework to track a 17-joint human skeleton in real-time. To make the platform truly actionable, I integrated HealthKit and CareKit to ingest passive health signals and automate clinical task scheduling for the user. To ensure maximum user privacy and maintain low-latency performance, I architected an on-device machine learning engine using Core ML. This allowed the system to locally classify the user's physical readiness into adaptive recovery bands without relying on slower cloud computations. The result was a fully functioning, high-impact prototype. Out of 136 universities nationwide, Kineo was selected as one of nine national finalists. My team and I earned the incredible opportunity to travel to Austin, Texas, and pitch our product roadmap live to C-level executives at Apple's headquarters. I am profoundly proud of Kineo because it represents the perfect intersection of complex software engineering and genuine human empathy. It required pushing my technical boundaries with computer vision and machine learning, but ultimately, it was a product designed to tangibly improve user health and recovery.

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