Proposed system consists of a microcontroller (Arduino), a NodeMCU, a Raspberry Pi, a heartbeat sensor, a temperature sensor and a high definition camera for blood group detection purpose. In our proposed framework, the heartrate and body temperature are automatically sensed, the readings are recorded continuously. Finally, after processing the …

Blood group detection from fingerprint using TensorFlow and PyTorch.

BLOOD GROUP DETECTION USING FINGERPRINT Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Non-invasive blood group detection using fingerprint image processing, CNN, TensorFlow, OpenCV, and Streamlit.

A deep learning-based blood group detection system using infrared hand images. The project includes data preprocessing, model training, and a Flask web app for real-time predictions.

AI-powered research project exploring non-invasive blood group prediction using fingerprint images. Combines computer vision, deep learning, and a MERN-based web platform to demonstrate AI-assisted biometric analysis for healthcare applications.