Enhancing government letter clarity with Machine Learning and ChatGPT

For her Master thesis Nadine Beks focused on using machine learning to improve letters from government sources like city councils and tax offices. She created and tested different models and found the GPT model was the most effective in making letters easier to understand.

Improving Datacation's business model from a service-oriented perspective

Our Data-driven Service Innovation (DDSI) course challenged a class of motivated JADS students to assess and improve the current service offerings and business model of our industry partner, Datacation, using the knowledge they learned in class.

Automating Breast cancer treatment planning

For her Master thesis Renée van Erp researched how the process of creating dose treatment plans for locally advanced left-sided breast cancer patients could be automated to be more efficient and less time consuming.

AI for Greener Cities Challenge

What could you do for sustainable cities if you drove a fleet of trucks with cameras through the city? That's how DPD Netherlands, Fruitpunch AI and JADS got to work on this open call for students.

Time Machine street register for the Municipality of Den Bosch

In this project, students created a street register for the Municipality of ‘s-Hertogenbosch. This register contains all current and historic information of the city center of ‘s Hertogenbosch at street level.

River Plastic Monitoring Using Deep Learning and Cameras for Ocean Cleanup

For his thesis Colin van Lieshout researched the concept of enabling automated monitoring of plastic in rivers for The Ocean Cleanup using deep learning.
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