• Developed a dashboard to present COVID-19 cases on the University of South Florida (USF) campuses using python3 and the Plotly Dash framework.
• Utilized BeautifulSoup4 and Pandas to web scrape the USF's Coronavirus website.
• Visualized the data using Plotly which enabled us to highlight unique trends within the data.
• Used FBProphet to predict number of positive cases one-month into the future and plotted the results.
• Used APScheduler to schedule a job to compute predictions once a month and stored the calculations in a Postgres DB.
• Hosted the website on Heroku and integrated Google Analytics to gather website traffic data.
• Refined the user experience on mobile by modifying the PleaseRotate.js script -> (Created by: https://github.com/arscan).
Other Contributors: Adheesh Shenoy: @adheeshshenoy (https://github.com/adheeshenoy)
