Traditionally, blood group identification requires blood samples and laboratory testing, which can be invasive, time-consuming, and requires specialized equipment. Using fingerprints for blood group identification offers a non-invasive, fast, and potentially portable alternative by leveraging machine learning and image recognition technologies.