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Effective Pose

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Android app using ML Kit for real-time body pose estimations, achieving up to 60 fps on high-end devices.

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Slide 1
Demo of the app running on Pixel 8 Pro Phone
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Potential use cases for accessible pose tracking technology
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Performance comparison across a range of modern smartphones

I led the complete development lifecycle, focusing on integrating and optimizing machine learning models for high performance on various devices.

Key enhancements included utilizing GPU processing reducing estimation times and improving frame rates, achieving up to 60 fps on high-end devices. This project underscores my expertise in mobile development, machine learning integration, and real-time processing optimization.

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