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What is Predicting Blood Groups from Fingerprints about?

This paper presents a machine learning-based system for predicting blood groups using fingerprint images, aiming to provide a non-invasive and efficient alternative to traditional blood typing methods. A five-layer neural network model was developed, achieving an accuracy of 90% after hyperparameter tuning, and a user-friendly interface was created for real-time predictions. The research highlights the potential applications of this method in medical and forensic fields, particularly in emergency situations

Author

Satya Prakash Sty

Language

EN