DayFrame is a native Kotlin Android app which takes automated pictures throughout your day. These images can then be classified by the user for them to gain insight into how exactly they are spending their time.

To train cashiers to identify minors trying to buy alcohol, a competition was created where users must guess someone's age based on a single photograph. This script could 'cheat' this browser-based game using web scraping techniques and get the guaranteed first place in the leaderboard.

Booking.com is a helpful aggregation website for finding hotel rooms in any city. However, it does not provide historical price data, and is riddled with hidden advertisements making the ordering ambiguous. This web app scrapes booking.com, and displays the (filtered) results cleanly, no fuss.

A joke machine learning project tasked with predicting if a friend would be busy or free on a given day (binary classification). Though less useful than the other projects listed, it provided lots of experience with data collection, feature extraction, data pre-processing and training and 'deploying' many different models.

Created for a university course, this interactive webapp visualises various metrics from all the past the FIFA World Cups. The app focuses on visualisation interactivity and connectivity, with much emphasis on the user's ability to fine-tune the visualisations. The website retrieves its data from a separate back-end process, the data pre-processing methods can thus be found on GitHub.

This webapp, made for a university project, lets users explore a set research questions for many different municipalities in the Netherlands. The website is set up as an interactive research paper, with all sources and workflows listed.

Curious how public education is handled in a certain municipality? Check to see if it's included in the government's dataset!