Covid-19 Detection

💡 Inspiration 🧬🔬😷

Coronavirus disease 2019 (COVID-19) is a novel disease caused by a newly identified virus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The novel disease which begun in Wuhan, China in Dec 2019 was declareda pandemic by World Health Organization on 11 March 2020. There are multiple tests for COVID and each test takes its own time to come up with the results. There are three main types of COVID-19 tests. Molecular tests (also known as PCR tests) detect the genetic material of the coronavirus. The Panbio™ COVID-19 Antigen Self-Test is an antigen test. Antigen tests detect coronavirus proteins. In this situation the RT-PCR test results take as early as 24 hours after sample collection, but sometimes it can take a few days, where as a ML algorithm detect within few minutes.

👨‍💻 What it does ⚗🧪🧬

This is a Covid-19 virus detection application. Initially this application uses a machine learning model. The uses upload the Chest X-Ray or Brain scan Images to the user interface and the API take the input and proceed those input to ML model. The machine learning model process and analysis those inputs and generate output like a patient is a covid-19 +ve or covid-19 -ve. And finally the API take those inputs to the user interface. In this way this application basically works.

🔩 How we built it 🧫

This application is build on python and I use python web framework for deploy my application locally. And also I build a nice user interface using JavaScript, html, CSS.

💪🏻 Challenges we ran into 👨🏻‍🔬👩🏻‍🔬

Here, I faced lots of challenges like syntax errors, JavaScript integration issues, and all the other issues, but after a long time of debugging and fixing I run & execute my code sample successfully. Also here I could not properly implement the API to frontend because of time constrictions and I tried to make use of each and every tool in a creative and unique way possible. This project has still lot of potential and improvements to make.

📌 Accomplishments that we're proud of 🩺💉🧫🔬

Even after the challenges we faced , we finished it on time and this project will help people, doctors to focus on situation, and also detected a Covid-19 +ve patient within time.

👨🏻‍🏫 👩🏻‍🏫 What we learned 👨🏻‍⚕️👩🏻‍⚕️👨🏻‍🔬👩🏻‍🔬

Here we learn about how to build a application and designing. Also we learn about a better programming skills, functions, syntax and coding experience. Also a bit learn about python frameworks and working methods, analysis.

⏭🚀 What's next for Covid-19 Detection 🔬💊💉

In this application I want to add two more things. First, add more machine learning model to improve the accuracy. And another thing is that deploy this application on a cloud provider (i.e. AWS, GCP, Azure) for Increase Productivity, Highly Scalable.