TinyML Project Brings Offline Skin Lesion Scanning to Raspberry Pi 3

A developer named circuitrocks has built a TinyML-powered skin lesion scanner called LesionIQ that runs on a Raspberry Pi 3. The project was published on DEV Community on August 27 and falls under the domains of edge AI and machine learning. LesionIQ is designed to analyze skin lesions entirely offline, without requiring a cloud or internet connection. The use of TinyML allows the machine learning model to run efficiently on the low-power, low-cost Raspberry Pi 3 hardware.
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