Python-Based Fingerprint Blood Group Detection System

Описание: Python-Based Fingerprint Blood Group Detection System

📘 Description:
This innovative project is a Python-based Fingerprint Blood Group Detection System that integrates biometrics and deep learning to identify an individual’s blood group using fingerprint images. The system captures the fingerprint and processes it through image preprocessing, feature extraction, and a trained deep learning model (CNN) to predict the blood group (A+, A−, B+, B−, AB+, AB−, O+, O−).

By combining biometric identification with medical diagnostics, this project eliminates the need for manual blood testing in emergencies, offering a fast, accurate, and contact-based solution. The implementation can be further extended for hospital databases, blood banks, and emergency response systems for immediate blood type identification.

⚙️ Key Features:

Uses fingerprint images for blood group prediction

Developed using Python and Deep Learning (TensorFlow/Keras)

Automated, contact-based, and quick detection

Ideal for healthcare, hospitals, and biometric systems

Can be integrated with IoT and database systems

🧠 Technologies Used:
Python | OpenCV | TensorFlow/Keras | NumPy | Pandas | Deep Learning | Image Processing

🏷️ Hashtags:
#PythonProject #FingerprintDetection #BloodGroupDetection #DeepLearning #AIinHealthcare #BiometricSystem #MachineLearning #ImageProcessing #PythonAI #MedicalInnovation #TechForGood #DataScience #HealthcareTechnology #CNNModel #SmartHealthSystem #AIProjects #BiomedicalEngineering #PythonCoding #InnovationInAI #FingerprintRecognition