Projects
I have developed following projects independently, most of them open source:
Android, iOS (planned)
alpha
Diaguard (Multiplatform)
This rewrite migrates a decade-old app to iOS and other platforms using Kotlin- and Compose Multiplatform.
Android, Home Assistant
done
CamAPS FX Adapter
This app reads notifications with custom RemoteViews and writes their data to the Home Assistant API.
Android
public
Diaguard (Native)
This app supports people with Diabetes mellitus by replacing their handwritten diary and offering additional features like a food database or multiple exports.
Android Library
public
SkeletonLayout
This library implements the Skeleton View pattern and provides an easy way for other developers to enable it in their apps.
Android with Parse Server
alpha
Release Report
This Android app shows release dates for upcoming media. It merges movies, music and video games from different data sources into one cohesive user experience.
Flutter
done
Rhyme
This multiplatform app finds and displays rhymes for a given input in six different languages by merging the results of multiple open APIs. Rhyme served as a proof of concept and will not be released publicly.
Android Library
public
TextInputView
This library offers a different way to display a hint without preserving extra space by placing it into the embedded EditText. TextInputView is being hosted on MavenCentral.
Android Game
done
Alchemy
This Android game is heavily inspired by Alchemie or Little Alchemy 2. Alchemy served as an introduction to native game development on Android and is not planned to be released publicly.
Android Wear
done
Watchfacer
This watchface for Android Wear 2 can be fully customized: analog or digital, seconds hand, date display or battery meter. Every element can be turned on and off as well as adjusted in color.
Python
private
Food Manager
This Python application manages a household's food from a Raspberry Pi. Branded products are going to be identified through their barcode by a connected camera and intrepreted via third party-REST API. Non-branded consumables are going to be identified with the help of deep learning through an image processor. This application is a proof of concept and primarily targeted for personal usage.
Website
public