In Germany’s 2017 national election it really looks like Martin Schulz (SPD, Gottkanzler) has the momentum to beat Angela Merkel. Germany’s social democratic party (SPD) was able to start a positive hype around their candidate Martin Schulz that had its origins in the Internet; organically. Thousands of memes were shard online, like the Schulz-Train – promoting the values of Martin Schulz and the SPD: A strong Europe for a bright future for all EU citizens. Or as the memes suggest: MEGA – Make Europe Great Again. And the polls looked great for Martin Schulz, raising every week looking like he has a real chance against his competitor Angela Merkel. Der Schulzzug fährt mit hoher Energie Richtung Kanzleramt! #MartinSchulz #EU #Bundestagswahl #Germany #SPD #MEGA #BTW17 #Deutschland pic.twitter.com/6l7uwFDFYd — Der[…]

This year’s Hackathon Stuttgart took place in the beautiful Römercastel location in Bad Cannstatt. This is a huge building with plenty of places to work and sleep at night. This hackathon is organized by logicline. The Idea When it comes to hackathons I am always a fan of crazy projects you wouldn’t or cannot do at home. In this case we were interested in Car2Go and Kärcher (which is a German company producing machines and equipment for cleaning) – both provided interesting hardware for the event. Car2Go had different versions of their cars and Kärcher had a street sweeper. After looking at the different APIs we chose the street sweeper to work with because it just provides more capabilities. It has multiple sensors and interfaces to[…]

This is a cultural music radio which plays suitable music depending on your gps location or travel route. Our backend server looks for artists and musicians nearby the user’s location and sends back an array of Spotify music tracks which will then be played on the iOS app. We use a python server backend to process RESTful API requests. Clients can send their gps location and will receive a list of Spotify tracks which have a connection to this location (e.g. the artist / musician come from there). We provide a javascript web fronted so the services can be used from any browser. The gps location is determined via html5 location services. In our iOS App we get the user’s location and send it[…]

MealHub was our project at the Hackathon Stuttgart 2014. We developed this app to be able to meet new people, cook and eat together. The initial problem was the lack of lunch options at our university. But what if every dorm could be a canteen? Cooking for five people is not much more time-consuming than cooking for one or two. After all we received the “price for best project”. After winning the hackathon we decided to continue working on MealHub and release the app on market. We worked on a server infrastructure, that organizes and exchanges events between participants, an iOS app and an Android app. After several months of work, customer interviews and business studies we were able to release the app. Mache Essen und Kochen[…]

Kolumbus is an intelligent, gps-based iOS application + server-backend, which reminds you to visit cultural institutions, when you are already there. This project got rewarded with “Price for best Application”. The source code is available on GitHub.  

At IBM’s bluemix hackathon we developed an iPhone app with intelligent weather capabilities: The app can wake you up earlier when harsh weather conditions occur (for instance snow). It is also able to warn you before certain weather conditions appear using the weather forecast. All calculations are done on IBM’s bluemix backend system, which then sends out a push notification to our fronted iPhone app. Read more about the hackathon and our project on IBM’s website. After all we were rewarded with the first price for our project.

Our goal was to create an API for connecting different mobile devices of all types to one big screen without huge afford for the users. Our product is web-based, which means you don not have to install any software on your device to use it. Therefore we used Websockets, so you just have to type in the server’s IP and can connect. Via our server’s webcam we take pictures of the different devices that should be connected. At this point some image processing was required. In order to separate the background from the foreground, we grayscaled our picture and programmed some kind of the Otsu algorithm to get the optimal gray-scale value. All pixels that are darker, are drawn black,[…]