NOMA AI began as a question: Could a $200 Raspberry Pi device provide preliminary skin cancer screening? After nearly a year of development, the answer is yes.

Getting NOMA AI to run reliably on the Raspberry Pi required careful configuration.

When a user launches NOMA AI, here's what happens.

NOMA AI needed to run on a Raspberry Pi 4 (4GB RAM, no GPU). After evaluating several architectures, MobileNetV3 emerged as the clear choice.

Every AI model is only as good as its training data. For NOMA AI, creating a comprehensive and balanced dataset was the first critical challenge.

When I learned that melanoma survival rates drop from 99% to less than 25% when caught late, I knew I had to build something that could make early screening accessible.