How can we track one of norways most important resources?

Spring 2022 - uio software engineering course

Building an app to help fish farms stay healthy

Stim is a student project at UiO (course; Software Engineering). With a team of 5 other students, I participated in making an app which allows the user to track fish farms, with a focus on preventing diseases🐟🦠.

This app was requested by the Institute of Metrology in collaboration with the University of Oslo. It was made in Android studio using the native code language Kotlin, to work on Android mobile phones 📱💫.

I was the facilitator in the group which means that I was responsible for everyone doing what they were supposed to, I planene our meetings and determined how to follow-up from meetings. I also did design, programming and prototyping,
Prototyping, Interviews, Iterative process, Kanban , Physical workshops, Kotlin, XML, Facilitation, Communication, Project planning, API implementation
The course was for one semester, from Jauary 2022 to May 2022.

About the PRoject

Stim is an app for collecting data from fish farms, with a particular focus on the infection of dangerous parasites among the fish population.

Fish in fish farms are very suceptible to certain parasites called “lakselus”. These can spread to entire farms if not careful. By using Stim, nearby farms can take preventative measures if other farms close by have been infected.

Our Process

The project was carried out with agile methods using Scrumban. The target group were experts in fish farming, and we carried out interview with an expert 🧪🧑‍🔬. This , and further research determined the requirements and our suggested, desired functionality. We then developed many prototypes on paper, using Adobe XD and more. 🎨

The app was made for Android in Android studio, using Kotlin and XML, we brought in data from the API from Nordkyst800, smittepress and the aquaculture register for the collection of correct data regarding the farms. 🔧💻