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 re