Paper Title
Blood Group Detection Using Fingerprints with VGG-16, YOLOv8, ResNet, AlexNet, MATLAB, Machine Learning and Statistical Techniques

Abstract
Recent advancements in biometric technology, machine learning, and image analysis are enabling non-invasive blood group prediction from fingerprints. Emerging techniques like deep learning, fingerprint mapping, and spectrophotometry show promise for rapid, accessible diagnostics, especially in resource-limited settings. These innovations could significantly enhance clinical diagnostics, forensic investigations, and emergency responses. Keywords - Blood Group Determination; Fingerprint Analysis; Image Processing; Convolutional Neural Network; Biometric Identification.