COVID Forecaster

Fully Automated Forecast Model

Looking to download the COVID Forecast software? This would be the page where you download that forecasting source code.

Enter Your Unique Download Key

Downloads of this software are monitored. When you download the software we log when you did it, from what IP address you did it from, and the time of day that it was downloaded. If you share the download key without persons outside of your licensed group then you are engaging in software piracy which is a federal crime, or many crimes depending on the scale of your malfeasance.

A license key is required so that we control the distribution of the software.

Source Code Release

  • Implemented in Python
  • Uses LightGBM, XGBoost and CatBoost
  • Includes tools for downloading data from public repositories
  • Excludes commercial products integrated into the tool

Beyond Ordinary Knowledge - COVID Forecast Pricing

No cost. This is a free download licensed under the Apache 2.0 license.

As an Artificial Intelligence product that is regulated by the US Department of Commerce, this technology and any software or service derived from it is export controlled and cannot be distributed to regions that are on the export exclusion list. This code was developed during the XPrize Pandemic Response Challenge, portions are copyrighted by Cognizant Digital Business, Evolutionary AI, the sponsor of that challenge.

XPRIZE, Team BOSS

Launched in November 2020, the Pandemic Response Challenge is comprised of two phases. In Phase 1, concluded earlier this month, contestants were tasked with analyzing local COVID-19 data, intervention strategies, and mitigation policies to develop and test a prediction model that could anticipate global infection spikes. The teams had access to foundational models from Cognizant’s Evolutionary AI™ team, which applied artificial intelligence to COVID-19 data sourced from Oxford University and John Hopkins in Spring 2020.

  • Python 3.6
  • Matplot
  • Anaconda and PIP
  • SciKit-Learn
  • NLTK
  • XGBoost, LightGBM, CatBoost
  • numpy
  • pandas
  • Google Mobility Trends
  • World Vaccine Data
  • Oxford Data Feed