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- All Subjects: Website
- All Subjects: sorority engagement
- Creators: Dunn, Heather
- Creators: Brand, Ashley
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
A travel blog and resource website on my experience from the Barrett Costa Rica trip.
The following paper will explore The Analysis of Sorority Interactions & Engagement During an Event for the purpose of Barrett, The Honors College Thesis Creative Project. My topic will be explored as a Creative Project with this document being written documentation supporting and explaining the creative project along with research, reason & findings from the event. The event itself stands for the majority of this creative project as that is where this written report gained & sourced its survey results from. An analysis of the event taking place and the attendees themselves created data into the ever-changing event industry. Specifically, a creative project like this shows the importance of events in everyday life especially the need for events post-COVID-19 restrictions.