Hello, I am your Blood Group Analyst assistant. You can ask me about blood groups, compatibility, donation rules, the machine learning model, dataset, accuracy, architecture, certificate, or project details.
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Fingerprint-Based Blood Group Prediction
Securely upload a high-resolution fingerprint image to initiate the machine learning analysis and determine the predicted blood group.
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Prediction Results
The results will appear here after analysis.
Predicted Blood Group:
Rhesus Factor:
Confidence Score:
Accuracy
N/A
Precision
N/A
Recall
N/A
Dataset Distribution Analysis
Blood Group Distribution (Mock)
Rh Factor Ratio (Mock)
Model Prediction Probabilities
Accuracy metrics based on this model's internal probability distribution.
Disclaimer: This is a predictive tool for research/educational use. Always confirm results with clinical testing.
Global Blood Bank Information
Essential facts and compatibility charts for blood donation and transfusion, supporting emergency preparedness.
Universal Donor
O Negative (O-)
Can be given to almost anyone with any blood type. Crucial for emergency transfusions when a patient's blood type is unknown.
Universal Recipient
AB Positive (AB+)
Can receive blood from any other blood type, both Rh positive and negative.
Always In Demand
O and B
These two groups are the most commonly needed, especially O negative due to its universal donor status.
ABO & Rh Compatibility Chart
Blood Type
Can Donate To
Can Receive From
A+
A+, AB+
A+, A-, O+, O-
A-
A+, A-, AB+, AB-
A-, O-
B+
B+, AB+
B+, B-, O+, O-
B-
B+, B-, AB+, AB-
B-, O-
AB+
AB+
ALL TYPES (Universal Recipient)
AB-
AB+, AB-
AB-, A-, B-, O-
O+
O+, A+, B+, AB+
O+, O-
O-
ALL TYPES (Universal Donor)
O-
Our Team & Vision
This project is the result of dedicated research aimed at providing a novel, non-invasive method for blood group prediction, guided by expert supervision.
Project Supervisor
Dr. Sibo Prasad Patro, Assistant Professor, Computer Science & Engineering.
Research Lead & Supervising Faculty
Dr. Sibo Prasad Patro provided crucial guidance, leveraging his expertise in Data Mining, AI applications, and Web Programming. His oversight was pivotal in refining the machine learning architecture and ensuring the project met rigorous academic standards.
The Development Team
Roushan Raj
ML Engineer & Data Scientist
Designed, trained, and optimized the Convolutional Neural Network (CNN), managed the large-scale dataset, and finalized the prediction logic within the Flask API.
Aman Kumar Das
Backend & API Developer
Developed the Python Flask API (including the crucial /predict route), ensuring the ML model could be served efficiently and handling secure data flow and preprocessing.
Samir Ranjan Mahanta
Front-end & UX Developer
Responsible for the entire user-facing web application (HTML/CSS/JS), navigation, responsive design, and integrating the API calls to display results instantly.
User Profile
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User
user@example.com
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BloodPredict AI
Fingerprint-based Blood Group Prediction
Generated by: BloodPredict AI System
Certificate of Analysis
Diagnostic Report
This is to certify that the following blood group prediction has been
generated by the BloodPredict AI system based on fingerprint image analysis.
Patient / User Name
User Name
Predicted Blood Group
AB+
Confidence Score
95.32%
Date: 01/12/2025
Report ID: BPAI-XXXXXX
Authorized Automated Report
BloodPredict AI System
