My name is Sophie, and I am a graduate of Computer Science from University of Colorado at Boulder. I am a frontend engineer at Rackspace Technology. I spend most of my time developing and designing websites, climbing, backpacking, painting, and managing my photography business.
Spotify API, LastFM API, Firebase
Cadence's purpose was to provide Discover Weekly playlists on demand. Upon login we gather your data and analyze artists closely related to your specific music taste based on your Spotify playlists. We use that information and artist information and find similar artists provided by the Last.fm API to create a tailored playlist for the user.
2nd Place Contestants in the Twitter Competition
Note: My contributions to this project were focused around design due to the 36 hour time constraint.
Dalvonic's main goal was to tackle the problem of echo chambers and, particularly, in-grouping.
Through social network graph analyses, it's very strongly evident that people
follow and remain exclusively in the company of very like-minded individuals
We aimed to expose users to people who share opposing views to them and prompt users to consider information from ulterior, opposing sources based on sentimental and subjectivity analysis of their tweets (with a CNN classifier).
Our primary focus was to take words associated with Donald
Trump, present the most popular negative and positive words, and
display them in a visually appealing fashion.
We did this by analyzing tweet data passed from Twitter API (Tweepy) using Storm and TextBlob for sentiment analysis.