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COVID19 India Cluster Network Graph

This is a dashboard of network connections and clusters to track outbreak and transmission COVID19 in India. The primary data source is collected by volunteers a crowdsourced database collated from various news as well as government sources. This can be forked and connected to your Google sheet too. The intention of this graph is to open up options for analysis for policy/decision makers so that they can be more strategic in testing cases and deploying resources like ventilators, beds & medicines.

Primary app is at https://covid19india-network.

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Roadmap

  1. More precise cluster filters based on state, district, travel abroad etc
  2. NLP based analysis of Notes section to find out relationship info, travel history etc.
  3. Travel history of locations visited of patients, stay time etc.

Maintainers

Contributing

Install packages :

npm install

# or

yarn install

Run Development server with hot-reloading:

npm run dev

# or

yarn dev

#or

// if you have now CLI

now dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying pages/index.js. The page auto-updates as you edit the file.

Deploy on ZEIT Now

The easiest way to deploy this app is to use the ZEIT Now Platform .

Rohit Krishnan's Projects

deepfake_detection_using_deep_learning icon deepfake_detection_using_deep_learning

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

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