The home of my projects, tutorials and other things I feel are worth sharing.
This investigation looks at detecting emotion in music. Using data from Spotify I attempted to predict mood in music using Python. The script looks at valence and energy to determine there it lies on an emotion plane.
Earlier this year, I and seven other students were given a project to visualise emotion in music.We decided to use Unity for visualisation and machine learning in Python to detect emotion. After days of planning and testing I had a plan for the emotion detection half.
The project can be found on GitHub here. While creating this program, I discovered a way that could give hints to what emotion the song is trying to portray using Spotify’s API, some data mining and machine learning
This app is based off the goal of obtaining all 16,777,216 colours by randomly generating colours when taping the screen. This figure is the amount of colours a screen can display today and it’s your challenge to find them all.
One night I was having a chat with a friend on how stupid apps always seem to make it to the top. We started to think of stupid apps and thus this app was born. Based off the simple idea of just tapping the screen to randomly generate colours I managed to turn an idea into an app in a couple of months in between my study. This idea also made me wonder how long would it actually take to complete an app of this nature for users? The investigation can be found here.