Goal: Build a prototype of an app to support a target group with their daily routine.
We selected seniors and dementia patients as our target group, wrote user stories and personas, did a market research, made wireframes, flow charts and interactive prototypes.
We presented the progress with a elevator pitch, a pecha kucha and a final presentation.
Goal: Build a webapp with a backend using suitable technologies.
We started with the development of an interactive coding platform for beginners.
Using react, semantic-ui and an easy database we created a good looking and intuitive to use webapp.
Goal: Implement the backpropagation algorithm without using predefined functions.
I used python to implement the backpropagation algorithm.
The neural network has one hidden layer and is able to learn a trigonometric function as well as the XOR problem.
Goal: Control a car in a simulation with lane detection and a PID controller.
We implemented edge detection and the Hough transformation algorithm to compute the cars location and its deviation.
The model is not suitable for real world usage without modifications but confirms the theoretical basics.
Goal: Build an embedded system with sensors and actuators.
We are developing an orthosis prototype with a arduino microcontroller, an electric motor and some mechanics to adjust the legs angle by an android app.
The shell is 3D printed.
Goal: Create a tool to edit photos with filter algorithms in pure JavaScript.
After writing the filters for edge detection, gaussian blur and so on, we added a nice UI and a small api/controller to handle the image upload.
We added a gallery for uploaded images.
Goal: Build a room planning tool for children.
I developed a simple tool for children to furnish their room using Qt Creator.
Part of the work were wireframes and a demand analysis about the target group.
Goal: Build a website for our students group “OpenDevSpace”
We used Grav (a Flat-File CMS), docker and revamped a template.
Page is available at www.opendev.space.
Goal: Conduct a scientific statistics survey.
We authored hypothesis and the theoretical background about the gender of digital assistant voices.
Afterwards we created a standardized questionnaire, analyzed the data and presented the results on a poster.