Detection Agent for Covid-19

Project Title

Detection Agent for Covid-19

Project Area of Specialization Artificial IntelligenceProject Summary

Our goal is to collect data from a few hospitals in Pakistan and use that data to train our model and then create a Mobile Application that will be connected to our Python API. A person would be able to upload an image of their covid-19 CT scan and the App will be able to tell if the person is likely to be diagnosed with Covid-19 or not. Furthermore, if the app detects the person is diagnosed with Covid-19, the app will also tell the severity of Covid-19 and give recommendation on how the user can deal with that type of severity. We will also try to add a feature that will give user an estimation on how long it will take for him to recover from Covid-19. 

Project Objectives

Primary Goal:

• To detect Corona status in humans as fast as possible (within minutes)  

• To build a front end interactive mobile app and web app

• To create a website that will endorse the backend 

Secondary Goal:

• our secondary goal is to make this a proper health app.
  • this can be done by collecting more datasets of the diseases that can be detected by the CT scan so, if the disease is detectable by Ct scan then we can apply the same machine learning model to detect the presence of the diseaese.

Project Implementation Method

• Collecting Data from different sources and Combining them so we can train a more accurate model.?

• Creating a Convolutional Neural Network (CNN) using TensorFlow.?

• Create a Rest API using Flask and integrate our TF model in our API?

• Creating an interactive Mobile Application using Flutter/ React.?

• Creating an interactive Web Application using Flutter/ React.?

• Integrating our Rest API with our Mobile Application?

Benefits of the Project

This project benefits directly the public sector and the government sector.

• It will enable a new spectrum where people will be able to check their health status without going anywhere and will be able to be in touch with the hospital at the same time
• It will save time
• Will save money 

Technical Details of Final Deliverable

The project can be broken down into four parts.

• First part will consist of collecting a good dataset from the internet, clean the dataset and train a Convolutional Neural Network using TensorFlow or any suitable python framework, that can predict Covid-19 and tell the severity of the infection by analyzing the image of a Chest CT-Scan.
• Second part will consist of making a Python REST API using Flask, that will contain the trained Model as a. tflite (TensorFlow lite) or as a. pickle file. The Rest API will take an image as an input and return a JSON output containing the information returned from the ML model. 
• The third part will consist of creating a Mobile Application that lets the user upload an Image and send’s the image to the Python REST API endpoint, and then receive it’s JSON response and display the output information returned from the ML model properly to the user, along with the mobile application we will also create a Website that would let the user perform the same tasks as our App, as Websites are more accessible than Mobile Apps these days. 
• The fourth and optional part will be to collect Real data from hospitals in Pakistan and retrain our model using the data we have collected and update our API to use the update ML model. (This is only possible when we complete 3 part before deadline and hospitals are willing to give data)

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Medical , Health Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	39700
Graphic Card	Equipment	1	30000	30000
Google Colab subscription (if Gpu not available)	Miscellaneous	1	7500	7500
React Course from udemy	Miscellaneous	1	2200	2200