https://github.com/v2dha/novid-20

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
https://github.com/v2dha/novid-20

covid-19 covid-detection covid-prediction

Last synced: about 17 hours ago
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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

• Host: GitHub
• URL: https://github.com/v2dha/novid-20
• Owner: V2dha
• License: mit
• Created: 2020-04-19T18:07:37.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-02-16T02:33:05.000Z (almost 2 years ago)
• Last Synced: 2023-03-07T09:17:58.972Z (almost 2 years ago)
• Topics: covid-19, covid-detection, covid-prediction
• Language: CSS
• Homepage: https://v2dha.github.io/NOvid-20
• Size: 62.5 MB
• Stars: 6
• Watchers: 2
• Forks: 6
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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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](https://github.com/V2dha/NOvid-20/tree/master/server/covid19-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](https://github.com/V2dha/NOvid-20/tree/master/server/covid19-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](https://github.com/V2dha/NOvid-20/blob/master/CODE_OF_CONDUCT.md) and [CONTRIBUTING GUIDELINES](https://github.com/V2dha/NOvid-20/blob/master/CONTRIBUTING.md). 

# Contributors