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What is Blood Group Detection via Fingerprints about?

This project proposes a novel method for blood group detection using fingerprint images analyzed through deep learning, specifically Convolutional Neural Networks (CNNs). It aims to provide a non-invasive, rapid, and accessible alternative to traditional blood testing methods, which are often time-consuming and resource-intensive. The project involves creating a comprehensive dataset of fingerprint images and training a model to accurately classify blood groups A, B, AB, and O, enhancing healthcare efficien

Author

CHETHAN E U

Language

EN