vicksemmanuel / detect_covid_19_and_pneumnonia Goto Github PK

1. Victor Umesiobi Q2094871
2.Jingqi Yuan P1179164
3. Jieyun Zhang P1180504
4.Dingding Yao P1180133
5.Ruchen Liu (p1180236)

In 2020, covid hit the world, and we have x-ray images of the chest region and we want to be able to easily detect covid and its difference from pnemonia

https://www.kaggle.com/datasets/amanullahasraf/covid19-pneumonia-normal-chest-xray-pa-dataset/data

1. What kind of model do we use to train and why
2. Cleaning and preparation of data
3. Differences and relationships between data (showing graphs) - (Zhang)
4. Training of data (victor)
5. Inference (show graphs and accuracy) (yuan)
6. Integrate with open cv (liu & Yao)
7. Pratical use (phone application uses our model) (liu & Yao)

Accuracy: 88.98% Precision: 89.55% Recall: 88.98% F1 Score: 89.02% Confusion Matrix: [[421 26 4] [ 39 418 7] [ 16 60 388]]

Install the android apk on your phone and scan x-ray images Download X-ray Detector Android App

Watch the video we've preprared and use the api API FOR PREDICTING X-RAY

Video