A Healthcare-Oriented Fingerprint System for Blood Group Detection and Donor Matching

The Biometric-Based blood group detection system utilizes fingerprint analysis combined with advanced image preprocessing and deep learning technologies to provide a noninvasive, user-friendly solution. Convolutional Neural Networks analyze fingerprint patterns such as ridges, loops, and whorls to accurately predict the categories of blood groups such as A, B, AB, or O. The system integrates multilingual support, voice-guided assistance, and real-time donor eligibility recommendations for inclusive and efficient healthcare applications. The personalized healthcare insight with diet recommendation and health-risk prediction according to blood group will improve the usability of the system. The product has been implemented on Django-Based web and mobile application interfaces to ensure secure management of data while it is available for all categories of users.