Image verification
To reduce the fraudulent listing of end-of-life batteries in a marketplace in Africa by 90%. I trained my model using a transfer learning approach on a custom dataset, gathering thousands of both authentic product pictures and known fraudulent battery listings with altered brand labels and synthetic AI-generated images. Current image accuracy rate is 99% with approval rate of over 1,000 images per hour without human intervention.