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Real-Time Pneumonia Detection using ML, Docker, Balena, and Edge Impulse

In this talk, Arijit will discuss his project that uses Balena, Docker, and Edge Impulse to classify and detect Pneumonia using chest x-rays with an accuracy of more than 80%. This machine learning model can then be deployed onto Embedded Linux SBCs, like Raspberry Pis using Balena. It can also be deployed using GitHub integrations, which can manage a fleet of devices running the same software stack—and enables his team to use this solution at the very edge with great accuracy and energy efficiency.