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