Inspiration
Our inspiration for this project was recent spotify API projects we had seen on the internet, that involved finding playlists based on user-specific info. We thought that integrating peoples subconscious connections between colours and genres of music (e.g. blue and sad music) would be an interesting application.
What it does
The program receives a file directory link to an image. It then scans the image to find the dominant colour, and then categorizes it to a specific playlist. Once this playlist is found, it will then play a randomly selected song from said playlist.
How we built it
We built the program using the spotify API, as well as a function for finding the dominant colour within an image.
Challenges we ran into
One of the main challenges faced was ensuring that the correct colour was associated with the photo. Often photos would be associated with an incorrect colour (e.g. a green-dominant photo registering as red)
Accomplishments that we're proud of
Overall learning throughout the hackathon was something we are all proud of. Since this was our first experience in a deltahacks event we all came into this weekend with a goal to learn as much as possible, and we feel as though we've accomplished that. Through attending workshops and researching new code and uses we were not previously familiar with, this lead to us learning a great deal of new information.
What we learned
A major aspect of our project that was new to all of our group members was using GitHub to maintain the project files over the course of the project. Although this was relatively difficult to use to start, we were able to successfully use it and it became a very useful component of our project.
What's next for Colour Your Spotify
Continue to develop the accuracy of the program, and perhaps enhance the ability to recognize more in images beyond just colour.
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