BloodPrint AI: Predict Blood Group from Fingerprint Using CNN
An AI-powered web app that detects human blood group from fingerprint images using Convolutional Neural Networks (CNN) with real-time results and a sleek UI.
Technology Used
Python | TensorFlow | Keras | Flask | Bootstrap | Chart.js | HTML | CSS | JavaScript
Project Files
Project Overview
BloodPrint AI is a cutting-edge deep learning web application designed to predict a person’s blood group by analyzing fingerprint images using advanced Convolutional Neural Networks (CNN). With an intuitive UI, real-time visualization, and drag-and-drop functionality, this tool is ideal for AI enthusiasts, students, and researchers alike.
Key Features
- Predict blood group from uploaded fingerprint images using a trained CNN model
- Interactive, responsive web interface with drag-and-drop support
- Real-time chart-based visualization using Chart.js
- Blood group facts and results displayed dynamically
- Fully responsive across all screen sizes
- Smooth UI animations and particle background effects
Applications
- Academic research and demonstration projects
- Proof-of-concept biometric AI systems
- AI/ML-based medical research (non-clinical)
- Educational institutions for deep learning model training
Why Choose This Project?
- Built with Flask and TensorFlow, suitable for Python learners
- Includes a pre-trained model and step-by-step training guide
- Beautiful front-end with HTML/CSS/JavaScript & Bootstrap
- Great academic final-year or research showcase project
What’s Included?
- Complete source code
- Trained CNN model file
- Full project structure and documentation
- Easy setup instructions
Note: This tool is for research and educational purposes only. It does not replace traditional blood testing procedures in medical settings.
Extra Add-Ons Available – Elevate Your Project
Add any of these professional upgrades to save time and impress your evaluators.
Project Setup
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
Source Code Explanation
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
₹1499
Custom Documents (College-Tailored)
- Custom Project Report: ₹1,200
- Custom Research Paper: ₹800
- Custom PPT: ₹500
Fully customized to match your college format, guidelines, and submission standards.
Project Modification
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.