Projects / Local Chapter Project

Estimating CO2 Footprint of Common Groceries

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This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by Berlin, Germany Local Chapter.

The problem

The world and Germany in particular are currently facing drastic consequences of the global climate crisis. In the last few years, we have faced extreme heat and devastating floods. All as a result of climate change. Climate change is to a high degree caused by CO2 (Carbon Dioxide) emissions. 26% of all GreenHouse Gas emissions are produced by the agricultural sector and food industry. This industry is very cost-sensitive and demands driven, therefore just the consumers have the power to shape this industry by making them. Educating people by providing them with easily available environmental impact information could have a large impact on their choices and as a consequence trigger a change in the production chains.

The goals

  • Aggregate environmental impact information.
  • Build a model that predicts CO2 emissions.
  • Learn more about different factors contributing to the CO2 emissions of common products.
  • Deploy the model.
  • Create a visual interface (dashboard) and make it publicly available.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



This challenge is hosted with our friends at



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