Deep Learning based Blood Group Detection using Fingerprint | Python Machine Learning IEEE Project

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Deep Learning based Blood Group Detection using Fingerprint | Python Machine Learning Final Year IEEE Project 2024 - 2025.
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📌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.
In the first mode, blood images are used to identify the blood group, utilizing the MobileNetV2 architecture model. The model was trained on a dataset of 750 blood images, with 500 images allocated for training and 250 for testing.
The second mode of detection introduces a groundbreaking non-invasive approach, where fingerprint images are used to predict the individual’s blood group. The MobileNetV2 architecture was also applied to this task, trained on a significantly larger dataset of 10,477 fingerprint images, with 6,000 used for training and 4,477 for testing.

📌IEEE Base paper Title: Artificial Intelligence and Image Processing Techniques for Blood Group Prediction.

📖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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Can we upload our own fingerprints i.e. ours or someone else's and if we do then will the output be correct?

jayavamsi
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Will you provide all project resources such as source code, base paper, project completion certificate and guidence letter of the project for submitting in collwge afetr buying the project

balasaikishore_YT
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when u r selecting the fingerprint image from A- and uploading it will obviously give A- what are we supposed to do when professor say detect my blood group? how to obtain his fingerprint image, I'll somehow find an app or smtg to get finger image and then in which cluster should i place his image ??, ntg is making sense here.

pranzz
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