Given less than 48 hours at a Rice University Hackathon, my partner and I created a 79% accurate skin cancer classifier and incorporated it into our own from-scratch iOS application with real-time capabilities and a dermatologist locator.

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We developed this SwiftUI iOS app with CoreML integration, real-time analysis, and dermatologist locator features.

Our model was engineered leveraging Python, PyTorch, and CoreML to achieve a 79% weighted precision score across 7 skin lesion classifications.

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TwInfra: Building Fast, Intelligent Infrastructure Tools at the SAIL Research Lab