IoT device for the diagnosis of Parkinson's & Gait Disorders

I played a pivotal role in the development of paceB, a biomedical device designed for the diagnosis of early stage Parkinson’s disease.

Employing a stack consisting of ESP32, AWS and EMQX broker, I improved the efficiency of the real-time data streaming and storage setup by 13 times with a payload size of 250 bytes.

Developed a comprehensive patient and health record management system with a payment interface and an IoT dashboard to control and monitor the device using Node.js, React.js, Razorpay, MySQL & EMQX broker.