Kat came up with this idea while living abroad in Europe and Africa. She noticed how other countries were more advanced in sustainability efforts and started playing with an idea of reducing food waste using new technology. The idea continuously became flushed out with time and this weekend, a preliminary version of the product came to be.

What it does

Our innovative platform provides a streamlined solution using technology to reduce food waste and fight hunger. Our hack redirects near shelf-life food from grocery stores to helping local food pantries, enabling the food pantries to receive more nutritious food at no cost. This in turn can directly benefit the Champaign-Urbana community, fighting hunger in a community where one in six people are food insecure. We created a FAQ here:

How we built it

Front-end: React with Axios, html, css Back-end: Python, Django, nginx, sqlite Design: illustrator, Google Fonts, + awesome advice from Pixo team!

Challenges we ran into

There existed learning curves of technology tools for each of us. For example, while the Django rest framework was pretty straightforward for the back-end data model, communicating with the client side with React was more challenging than expected.

Accomplishments that we're proud of

Our social causes affect people from all walks of life, and therefore it’s important to have a diverse team with different backgrounds and skillsets to creatively brainstorm, address, and target these problems. The five of us on the team met for the first time on Saturday afternoon, coming from undergraduate studies, graduate studies, and industry, with skill sets ranging from design to front-end to back-end, went into a room for 24 hours with lots of caffeine and built Dibbs.

What we learned

We learned about working in a team, working with new technologies, and more knowledge about social causes. We placed an emphasis on design and sustainability of this project so that users will use it.

What's next for Dibbs

Finish the proof of concept, demonstrate and get feedback from stakeholders involved, iterate on feedback, continue the technology build for production, follow an open-source model for distribution + scale.

Here's our open-source code:

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