Inspiration
When we were brainstorming ideas for our project one of our team members brought up the Florida COVID tracker. In which a civilian used government data to track the spread of COVID-19 in Florida. This led to a rabbit hole of tracking tweets that happen during natural disasters.
Links
What it does
Tradgy provides a heatmap of disasters and catastrophes in the United States. This is based off of a list of keywords that would used in such events.
How we built it
We used a script to pull tweets that have certain keywords, fed it through a neural network to determine the worthiness of an event, then convert the tweet location data to a list format and create a heatmap of it on a website.
Challenges we ran into
Creating a neural network, front end formatting
Accomplishments that we're proud of
- Creating a neural network that uses NLP to discern tweet sentiment
- Getting the map on the page
- background on the 'how it works' page
What we learned
- Wix has too many restrictions
- Twitter is a hot pile of garbage (and so is their API)
- Heatmaps are simultaneously great and awful
- I wish you could compile JS code without jumping through hoops
What's next for Tradgy
Live data website

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