Fried-man / CENT

Prediction Analysis of COVID-19 Genome Beyond Omicron Variant on Cloud
https://fried-man.github.io/CENT/
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About

The system being developed by Team 2133 is an application which can provide information and predictions about Covid-19 and its variants in a given geographic region. We aim to enable the general public to make informed decisions about travel and make predictive determination of likely Covid-19 genomic mutations in a specific area. It could also be used by epidemiologists and COVID researchers as a means of assessing recent variants through multiple genome alignment, and analyze developments through the aid of a predictive model which highlights components of the genome affected by mutations.

Demo

The Team

Name Email Roles
Bennett Burns bburns39@gatech.edu Summarizer, Compromiser, Encourager
Andrew Friedman afriedman38@gatech.edu Information Giver, Harmonizer
Noel Igbokwe nigbokwe3@gatech.edu Information Seeker, Summarizers
John Rehme jrehme3@gatech.edu Information Seeker, Feeling Expressers
Nihar Shah nshah400@gatech.edu Energizers, Clarifiers
Max Tang mtang80@gatech.edu Information Giver, Harmonizer
Daniel Varzari dvarzari3@gatech.edu Energizer, Clarifier, Compromiser, Organizer, Information Seeker

Team Resources & Instillation Guides

v0.4.0

Sprint 4 Demo Video

Features

v0.3.0

Features

v0.2.0

Sprint 2 Demo Video

Features

v0.1.0

Sprint 1 Demo Video

Features