Inspiration: We wanted to work with the Twitter API and quickly found an idea we were excited about.

What we used: Uses NLTK library to assess tweets and judge whether they are positive or negative on a scale from -1 to 1, with 1 being the most positive.

How we built it: We built this using python, along with many libraries. We also used the Twitter API.

Problems: Our knowledge on GUIs hindered us. We also had to change libraries for the Sentiment analysis as the previous one didn't work with what we were trying to accomplish.

Accomplishments: Finishing the project as this is both of our first hackathons.

What we learned: How to work with the twitter API, a bit about Natural Language Processing and sentiment analysis, and tkinter

What's next: We definitely need to work on the UI and possibly be able to integrate the program into websites

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