rohit-kandelkar/Blood_Group_Prediction_Using_Fingerprint_patterns
A CNN‑based system that classifies blood groups from fingerprint images, delivering fast, non‑invasive, and cost‑effective predictions of ABO and Rh types.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rohit-kandelkar/Blood_Group_Prediction_Using_Fingerprint_patterns"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Michael-OvO/Skin-Burn-Detection-Classification
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
Tirth27/Skin-Cancer-Classification-using-Deep-Learning
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the...
ImageMarkup/isic-archive
International Skin Imaging Collaboration: Melanoma Project
samhaswon/skin_segmentation
This repository details the various methods I have attempted for skin segmentation.
aevri/mel
Tools to help identify new and changing moles on the skin with the goal of early detection of...