With our project, we aim to illuminate the story of the meat you buy in store and make meat buying more personal.

We visualise our project in form of a mobile application. Our goal is to make the origins of Swiss meat more transparent to the end user. In an ideal version, the client should be able to scan a QR code on the meat package, and in return get specific information on the product.

This Info would include: - The farm where the animal has been born (with picture) - It's path of life from birth to shelf - It's name, breed (with picture), height and the age it reached

Our idea is interesting for the consumer, since it makes responsible buying easy. He now has a clear idea of why he might be spending more money for local meat and quality. Another key aspect is that it makes the buying experience personal. While meat is not the product with the lowest CO2 emission, it sure does profit the environment if it is locally produced. With our app, we aim to push consumers to make environmentally friendly choices. For the producer/farmer the app is favourable, since it justifies the price he is demanding for biologically/locally produced meat.

For a prototype, we are using the data traitafina is publicly offering the consumer. Traitafina is a local food maker that guarantees the consumer that he can trace every product from birth to death. This data can be accessed by scanning a code on the product or typing the earmark in on this website: On the other hand we used the "Tierverkehrsdatenbank" (TVB), to complete the information already found on the previously mentioned website.

In the future, we would hope that larger shops, such as Migros and Coop are implementing more exact labeling techniques, so that their products could also be traced.

Project Participants: -Samuel Bühlmann: -Graham Lancashire: -Martin Holub: -Doris Fonseca Lima:

greg_s has joined!

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Worked on the pitch

12.02.2017 15:29 ~ donseca

Event finished

11.02.2017 14:00

donseca has joined!

11.02.2017 13:34

Worked on the pitch

11.02.2017 13:32 ~ donseca

martin_holub has joined!

11.02.2017 13:21

smrbu has joined!

11.02.2017 13:20

Worked on the pitch

11.02.2017 13:20 ~ donseca

glancashire has joined!

11.02.2017 10:01

Worked on the pitch

10.02.2017 17:40 ~ donseca

Challenge started.

10.02.2017 16:30 ~ donseca

Event started

10.02.2017 09:00


Projects from the Open Food Data Hackdays presented at ZHdK, Zürich, Switzerland on February 11, 2017.

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Open Food Hackdays 2017