Deep Learning based Blood Group Detection using Fingerprint | Python Machine Learning IEEE Project
Deep Learning based Blood Group Detection using Fingerprint | Python Machine Learning IEEE Project 2024 - 2025.
To buy this project in ONLINE, Contact:
🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org
📌IEEE Base paper Title: Artificial Intelligence and Image Processing Techniques for Blood Group Prediction.
📌Our Proposed Project Title: Deep Learning based Blood Group Detection using Fingerprint.
💡Implementation: Python.
🔬Algorithm / Model Used: MobileNetV2 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/
📢OUR PROPOSED PROJECT ABSTRACT:
Blood group detection is a vital procedure in medical diagnostics, particularly for transfusion medicine, emergency healthcare, and personalized treatment plans. Current methods rely on the physical collection of blood samples and laboratory-based testing, which can be time-consuming and dependent on specialized resources. To address these limitations, this project proposes a novel deep learning-based system for blood group detection, leveraging two distinct methods: blood images and fingerprint images. Developed using Python for backend processing and Flask as the web framework, the system provides a user-friendly interface powered by HTML, CSS, and JavaScript, enabling efficient blood group detection in both traditional and non-invasive modes.
📖REFERENCE:
Tannmay Gupta, “Artificial Intelligence and Image Processing Techniques for Blood Group Prediction”, 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), IEEE CONFERENCE, 2024.
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