Project D was our second project with external clients, Alten and Chengeta Wildlife. In the wild area that Chengeta monitors, there are a number of nodes that listen for events. By means of machine learning, it is determined on the node what kind of sound has been collected.

In this project we researched various solutions to display this data in a dashboard and made a proof of concept with the chosen solution. The solution that was ultimately chosen is Streamlit. Streamlit is an open source app framework in Python.

In the project I was responsible for the middleware, the layout of the downloadable PDF, the event map and the Docker integration.

• StackPython 3.9 & Streamlit and SQLite
• DevOpsDocker
• Githubhttps://github.com/jamey-schaap/Groep1ProjectD
• Demohttps://youtu.be/ewKxmAW7dcM