kr1shnasomani/BloodPrint
Blood group detection from fingerprint using TensorFlow and PyTorch.
Quickly identify a person's blood group using only their fingerprint. This system takes a fingerprint image and predicts one of eight blood types (A+, A-, B+, B-, AB+, AB-, O+, O-). This tool is for researchers and forensic scientists who need a non-invasive way to estimate blood types.
Use this if you need to rapidly estimate blood groups from fingerprint images in a research or investigative setting without traditional blood tests.
Not ideal if you require medically certified, diagnostic-grade blood typing accuracy, as this is a predictive tool based on image analysis.
Stars
9
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kr1shnasomani/BloodPrint"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
krishna111809/fingerprint-based-blood-group-detection
This repository presents an innovative approach to classifying blood groups using fingerprint...
iArunava/Malaria-Detection-using-Keras
Malaria Detection using Deep Learning from Images made available publicly from NIH
sauravmishra1710/Malaria-Detection-Using-Deep-Learning-Techniques
Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease...
wObbLee00/Non-Invasive-Blood-Group-Prediction-Using-Fingerprint-Analysis
End-to-end system for non-invasive blood group prediction using fingerprint images, built with...
aniketpatilanalyst/Disease-Prediction-Model
Prediction Model on Cell Images for Detecting Malaria