Hackathon Stuttgart 2019

Hackathon ’19 after video

Winner Teams 2019

Gallery 2019

Winner Teams  19

Next Level Mystery Machine

Idea description: Creating a vending platform for local sharing economy

Used platforms, gadgets: finAPI, BOSCH Powertools Grinder (Bluetooth CTL), Deutsche Bank API, Blockchain (Ethereum), Python, Raspberry PI, OpenCV, Symfony, SIEM ML, Gitlab, CI/CD

AI powered self-assessment of body posture

Idea description:

We use deep learning methods for detecting poor body postures in pictures and live video streams. The direct feedback by IoT-devices and the feedback history in our application enable the users to self-assess and improve their body posture.

Used platforms, gadgets: Heroku, Raspberry Pi, LEDs

Trick people into ethical behavior

Idea description:

How much does your behavior impact the planet? See for yourself and tend to your own little pet planet earth. We collect a mixture of data from IOT devices and external APIs, as well as manual input.

The data is then interpreted to form simplified scores which will trigger events on your little planet. Optimize that score to have plastic free oceans, clean air, a thriving animal population and lush forests.

For additional motivation, we utilize peer pressure and public shaming. Challenge your friends to reach a certain score or justify why “piggeldi” had to die for craving for hamburgers

Used platforms, gadgets:

Android, Heroku, Crosser, Tinkerforge, Bosch Thermostat Easy Control, Stuttgart Airport API, Phillips Hue, Porsche API, financial API

We make the airport experience more valuable and less stressful for the passenger

Idea description:

We develop an application that supports travelers on their journey from home until their departure from Stuttgart Airport. The app provides the users with constant accurate information about travel time, waiting times and estimates time of arrival at the gate. Furthermore the app reacts dynamically to the wishes of the users and tries to link them to shops and services in their proximity.

Used platforms, gadgets: Stuttgart Airport Data Hub

DARPA – Smart Factory Solutions

Delivering Autonomously Robotino Pleasure Aviator

DARPA takes your factory to the future!  –  smart and autonomously

Idea description:

With our flexible Robotino omnidirectional robot system combined with lightweight and agile DJI Tello drones we can handle your products, materials and possessions in your warehouse and more. The Robotino can handle products and carry them autonomously to the specified target. It can delegate difficult to reach deliveries and pickups to the attached drone. With its maximum flight time of 10 minutes it can reach targets up to 2km away.

No more slow and complicated transportation. Make it as fast as your ideas are!

Used platforms, gadgets:

Festo Robotino V4 including Intel-RealSene, omnidirectional drive and bumper sensors (xBox Controller)
DJI Trello Drone EDU Maker-Beam, WS2811 (LED), 2x Servo, Arduino Nano, 2x Stepper-Motor, 1x Gear-Motor, Ethernet-Switch, Raspberry Pi, big amount of QR Codes
Software ROS+RestAPI (Controlling) NodeJS, C++ (Aduino), Python (QR Code), MQTT (Data-Transfer), HTML+JS (HMI)

Träu.me: Sleeping bag as a service

Idea description:  

At Hackathons, many participants reserve Beanbags for the night as soon as they walk in, and many people have to sleep on the cold hard ground.

We want to improve (and monetize) the bean bag situation by offering them as a shared service. Book a bean bag from your phone, locate it within a room, use it to get a good night’s rest and pay only for the time you actually needed it.

Then pass it on.

Used platforms, gadgets:

Amazon Echo, Ras