PnCheck

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Switzerland, ETH
PnCheck

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Project Overview

Our Project is a Image Classification Model Python for Detecting Pneumonia from X-ray Images. By loading Chest X-Ray Images (Pneumonia) Dataset, and exploiting Image Classification, we spent a week to build a CNN Image Classification Python Model from Scratch. During the process, although we encountered a limited resource of implementing Transfer Learning, which is a technique of using pre-trained neural networks, we evaluated the Performance of the Image Classification Model. Through Azure cognitive services, we trained a model of 5,863 X-Ray images dataset hosted on Kaggle for pneumonia detection.

About Team

We are a team of 4 different countries: Egypt, Turkey and South Korea. One of us is still in high school, however the main software developer, who have finished Harvard CS50 Computer Science in 7 days during the quarantine. He is very passionate about

Technologies we are looking to use in our projects

Artificial Neural Networks
Azure
Cognitive Services or other AI
Javascript
Machine Learning
Python

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