Detect Your Blood Type with Just a Fingerprint! Using Machine Learning | IEEE 2024 Project
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🔥 Our Proposed Project Title: Novel Blood Group Prediction using Fingerprint with Machine Learning.
🔍Implementation: Python.
🧠Algorithm / Model Used: Convolutional Neural Network.
🎯Web Framework: Flask.
💻Frontend: HTML, CSS, JavaScript.
✍ ASBTRACT
This project explores the feasibility of using deep learning to detect blood groups from fingerprint images.
Traditional blood group detection methods require invasive blood sample collection and laboratory analysis, which can be time-consuming and resource-intensive.
In contrast, this approach aims to provide a non-invasive, rapid, and accessible alternative.
By leveraging a Convolutional Neural Network (CNN) architecture, we analyze fingerprint patterns to predict blood groups (A, B, AB, O). A dataset of fingerprint images with corresponding blood group labels is collected and preprocessed, including normalization and augmentation techniques.
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* Base Paper
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* Screenshots
* Execution Procedure
* Readme File
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* Video Tutorials
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Are you curious about your blood type but don't want the hassle of traditional testing methods? In this groundbreaking video, we explore an innovative approach to blood group detection using just a fingerprint and the power of machine learning! Join us as we dive into the fascinating intersection of technology and biology, showcasing how advanced algorithms analyze fingerprint patterns to accurately determine blood types. We'll explain the science behind this revolutionary technique, discuss the potential applications in healthcare, and demonstrate the step-by-step process of how it works. Whether you're a tech enthusiast, a healthcare professional, or just someone interested in discovering more about your own biology, this video has something for everyone. Don’t miss out on learning how machine learning is transforming the way we understand our bodies! 🔍 **What You'll Learn:** - How fingerprints can reveal your blood type - The role of machine learning in medical diagnostics - Real-life applications and future potential of this technology 📌 **Key Topics Covered:** - Blood group determination methods - Machine learning algorithms in healthcare - The significance of biometric data in medical testing Make sure to like, comment, and subscribe for more exciting content on the latest advancements in health tech! #BloodType #MachineLearning #Biometrics #HealthcareInnovation #techinmedicine
Important points to consider - The dataset taken with the help of high end finger imaging device. Not a finger print scanner. It's a research based project with kaggle dataset as a input and implemented for the research concept. Moreover it can't consider as real-time product. Can't be applied to normal scanner images or photos.
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00:00 Introduction
03:09 Reference paper
04:29 PPT Explanation
06:41 Proposed Solution
07:88 Overall Architecture
11:03 Dataset Collection
11:40 Project Demo
17:43 Conclusion
![](https://s2.save4k.org/pic/cewYSEO4wdM/maxresdefault.jpg)