CoviCheck

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Inspiration

In these hard times, most of the people are so worried about their covid-19 results. Some of them got some false reports too. To take the fear out of the people, We found CoviCheck.

What it does

A computed tomography scan, or CT scan, produces detailed images of organs, bones, soft tissues, and blood vessels. In this project, I have used the CT scan images of covid-19 positive patients and covid-19 negative patients. Using this data, I have trained my CNN model and in the testing phase, we have to upload a ct scan image of a person, then my model predicts and gives us the result of that patient(whether he/she tested positive or negative for Covid-19).

How we built it

This project aims to design and develop a deep learning model for early detection of the COVID-19 by using CT scan images. The ﬁnal accuracy level of my deep learning model is recorded as 0.91. The deep learning model answers nearly the 0.91 of the CT scan images of the patients correctly and, distinguishes between the infected and not infected by the COVID-19 virus.

Challenges we ran into

The main challenge we ran into is, we searched a lot for the dataset to train my model and some of the errors that we have faced in this projects have helped us to overcome the situations.

Accomplishments that we're proud of

We are so happy that our model predicts 91% accurately and gives us the good results and we are so proud for that.

What we learned

From this project, I got so much inspiration that, from next onwards i have to work on some project that are useful to the public in that respective situations!.