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An online doctor and a health assistant, whenever and wherever you need with solution to foretell the likelihood of being in vicinity of COVID-19 using ML and AI

Home Page: https://v2dha.github.io/NOvid-20

License: MIT License

HTML 6.54% JavaScript 7.47% CSS 44.36% SCSS 28.44% Python 1.33% Less 11.86%
covid-19 covid-prediction covid-detection

novid-20's Introduction

GitHub Repo stars GitHub forks GitHub contributors GitHub issues GitHub closed issues GitHub pull requests GitHub closed pull requests APM

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NOvid-20

One solution to all Covid-19 Queries
An online doctor and a health assistant, whenever and wherever you need
A solution to foretell the likelihood of being in vicinity of COVID-19 using ML and AI


Features

  • COVID-19 Predictor - The predictor model based on machine learning approach analyzes the likelihood of the disease based on various factors.

  • COVID-19 Detector - With the help of COVID-19 Detector, you can upload your Chest X-Ray image and get a prior prediction of whether you are COVID-19 positive, negative or it's a case of Pneumonia.

  • Chatbot - An AI assistant will resolve all your queries related to the disease and provide implementable solutions to them.

  • Current situation Overview - Latest updates and overview of the on-going situation to help you keep track of it.

Demo

Tech Stack

  • For COVID-19 Predictor, Ensemble Machine Learning classifier was used to classify the symptoms and factors entered by the user. The accuracy achieved by the model is 98.2% using Random Forest.
  • For COVID-19 Detector, Convolutional Neural Networks were used to detect the COVID-19 using Chest X-Ray images with an accuracy of 95%.
  • For both deployment of Predictor and Detector, Flask was used for backend deployment on heroku.
  • Main website is a static website hosted using Github Pages with the frontend built using Bootstrap template.
  • Chatbot is powered by SnatchBot.

Contributing

NOvid-20 is fully Open-Source and open for contributions! We request you to respect our contribution guidelines as defined in our CODE OF CONDUCT and CONTRIBUTING GUIDELINES.

Contributors

novid-20's People

Contributors

ankit-kaushal avatar isha307 avatar raftar2097 avatar tanvimoharir avatar v2dha avatar

Stargazers

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Watchers

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novid-20's Issues

Improving documentation

Improve documentation by -

  • Adding badges for number of issues open, prs, contributors etc.
  • Guidelines on how to contribute, fork the project and run locally.
  • Adding list of contributors.
  • Updating the size of screenshots they look uneven.
  • Removing grammatical errors if any
  • Improving the content and specifications

Any other things to improve the readme and help other contributors to get started.

Automate the blog feature

The blog feature currenlty is a stub.
Create a feature to let the user write and publish blogs on the website and enable the search using the keywords.

Cleaning the directory structure

Due to the deployment on netlify the directory structure is not clean with all the backend files and frontend files messed up. Organize the directory structure without disturbing the deployment on netlify.

Improve the model accuracy

Currently the accuracy is 70% with only binary classification - with symptoms and no symptoms with basic ml classifiers. Improve the accuracy using ensemble classifiers or neural networks.

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