Going outside is riskier than ever, and information can be scattered all over the internet when trying to determine how best to keep yourself safe.

What it does

COVIDgo gives you a simple number based on facts and data to quantify the risk that you may encounter.

How I built it

Python Flask and IBM Cloud backend with Nuxt.js frontend running Python data analysis code.

Challenges I ran into

Determining the best method of data analysis, implementing the frontend, working during a 100% online hackathon.

Accomplishments that I'm proud of

Data based model for risk calculation, new technologies explored during hack.

What I learned

Working with data.

What's next for COVIDgo

Implementing a more robust model with real-time data and better weighting factors.

Share this project: