Bio-tech project that involves a grant-backed initiative to develop a digital spectrometer and image classification tool that is detecting very common, frauds in the fish market.
Flyps supported the project with computer vision and data classification expertise, using smartphone cameras and spectrometers for features like body shape and fish type. We aimed to develop an intuitive app using XGBoost and OpenCV that shows confidence levels and a PCA chart for prediction accuracy.
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