Inspiration
We saw the effect of twitter blue subscription tweets on the stocks of corporations such as Lockheed Martin among others which gave us the idea.
What it does
It looks at the tweet and categorizes the sentiment and uses it to predict the effect of that on the stock prices of the corporation being impersonated
How we built it
We used numpy and Panda to create the ML model and used Django to tie it to a website.
Challenges we ran into
We ran into the challenge of not being familiar with making a NLP model.
Accomplishments that we're proud of
We were able to process 1,600,000 tweets to use them for training the model
What we learned
We learned that making a full-stack project can be an intensive and time-consuming process
What's next for WatchBot
Fleshing out the web-UI and making it work more effectively.
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