Technology Impact Cycle Tool

Church Music Acceptability Prediction Model

In the SDA Church Community, many individual churches can have conflicts over what kinds of music should/ shouldn't be used or featured during weekly worship services on Saturday. This has caused a split of opinion at an SDA church in Eindhoven specifically. I created a prediction model that attempts to predict how 'acceptable' a song would be for use in church based on the types of songs that have been acceptable in the past. This prediction model could be helpful since it could assist members of the Music Department with choosing the right kinds of song for their congregation. Explaining how the model decides a song's acceptability could also encourage further discussion about the topic of music in church, educate members about musical features that compose a song, and the unspoken biases that determine whether music is 'acceptable' in church or not.

Machine Learning Model for Classifying Tweet's Content

A model which classifies the content of text (tweets specifically) in 3 classes: Neutral Speech, Offensive Speech and Hate Speech; using a dataset with already annotated tweets for training and testing purposes.

PlayConnect

Sport Event Management Application

Individual project

In mijn individuele project ga ik een slimme camera maken die kan zien of auto's verkeerd staan geparkeerd in parkeerplaatsen

Ethical Assignment