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Mind & Motion is a platform designed to support stroke rehabilitation by combining the power of machine learning and data-driven insights. This project is our submission for the 2024 nathacks hackathon.

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Mind & Motion is a platform designed to support stroke rehabilitation by combining the power of machine learning and data-driven insights. The project uses a machine learning model from MediaPipe to grade exercises tailored for stroke recovery, providing real-time feedback to users. The goal of Mind & Motion is to make recovery efficient, accessible, and empowering, helping individuals regain independence and enhance their quality of life.

The platform offers a supportive digital environment where patients can perform rehabilitation exercises with guidance and track their progress. Developed with React.js, Django, and JavaScript, Mind & Motion ensures a seamless and user-friendly experience for patients on their recovery journey.

Watch our demo here.


Project Members
Anthony Mirza
Tina Nguyen
Zongxin Liu
Weihang Zhou
Rongjia Liu
Mike Jattu

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Mind & Motion is a platform designed to support stroke rehabilitation by combining the power of machine learning and data-driven insights. This project is our submission for the 2024 nathacks hackathon.

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