SpotCheckAI is a skin cancer detection and classification app built using insights from cutting-edge research at NC State. The project integrates deep learning, GAN-based data augmentation, and knowledge distillation into a lightweight mobile-friendly platform for real-time dermatology support.
Highlights
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Tech Stack: Python, Java, React, Generative Adversarial Networks (GANs), Gaussian White Noise augmentation, Knowledge Distillation.
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Leadership: Led a team of 5 developers, managing backend integration and ML pipeline design.
Recognition:
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Placed 3rd out of 99 at Lenovo’s Ready. Set. App. Hackathon.
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Secured $2,000 in grants and featured on 5 news channels.
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Officially recognized by Governor Roy Cooper and Congresswoman Deborah Ross.
Features
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Skin Cancer Detection: AI-driven classification using CNNs with fairness and efficiency optimizations.
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Backend Optimization: Leveraged knowledge distillation and synthetic data generation to deliver fast, lightweight models.
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Mobile Integration: User-friendly interface built in React for accessibility.
Video Pitch
- Watch our official app pitch here: https://www.youtube.com/watch?v=Sh6bo1zQg0o&ab_channel=NeilBrah