Currently, Astma-Allergi Danmark, as an organization, is responsible for manually collecting pollen
data across Denmark. However, there is potential for improvement through the application of AI
and machine learning. Due to a lack of collaboration with Astma-Allergi Denmark, this project
aims to investigate the collection methods of pollen and develop an attempt to create an image
recognition AI that can automate the organization’s manual processes. Given the limited
knowledge and cooperation regarding their internal systems, the projekt relies on building
networks with external partners to es

This project has been completed in collaboration with the nonprofit organization Thirdroom. The overall focus of the project is to find an IT solution for the problems that Thirdroom is experiencing, by the users of their current platform. In this context, we will work out a feasibility study, by using the MUST method as an analytic structure for the project and results from the collected empirical data. We will be focusing on the phases and principles of the MUST method.

More and more people are getting into depression and the number of young people getting sick has grown much in the last decade. Mental disorders are a taboo subject in society and there is generally a lack of knowledge about the subject among the population, making it difficult for young people to decide what to do if they feel depressed.

In the project we attempt to dig into the recommendation side of Spotify, how the algorithms work, and how they shape our way of listening to and discovering new music. We chose to work primarily with the Spotify playlist “Discover Weekly”, as it generates a new playlist full of songs the user most likely have not heard at all.
The highlights:
– General insight of a consumer’s experiences with the Spotify Recommendation Algorithms.
– Awareness to how these algorithms affect the consumers choice of music.
– How the algorithms and discover weekly has affected us during the project period.

For at illustrere, hvilken betydning VR teknologien kan have for astronauter i fremtiden, har projektet produceret en video, som følger Kevin, en astronaut på vej til Mars.

I filmen viser vi, hvordan VR bodysuiten fungerer. Vi antager, at VR rummet ikke kan være alt for pladskrævende og tungt i første omgang. Derfor bliver rummet småt og der implementeres i stedet en treadmill, så der er mulighed for mere bevægelse. På den måde kan astronauter også bruge VR som en form for motion.

Vi håber i nyder filmen!

This project revolves around the environmental issues regarding smartphones.

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