0waste source code

Won Best Environmental Hack at EarthxHack 2018

All code developed at EarthxHack 2018 24 hour hackathon. Co-developed by @stephenhales

Ever been confused when confronted with these bins?

• 9.1 billion tons of recyclable plastic is produced worldwide every year
• 79% of plastic produced will ultimately reside in a landfill
• Only 9% of plastic is recycled

The Solution: A garbage classification application and website powered by image recognition through machine learning and neural networks.

How 0waste works

• Open the 0waste web app
• Take a picture of a piece of garbage
• Get garbage classification and use the correct bin to save the planet!

Stage 1: ✅ Garbage classification through image recognition app

This serves as both a proof of concept, and assists users to correctly recycle/compost trash that usually goes to the landfill.

Stage 2: Build a garbage can with automatic landfill, compost, and recycling sorting

This eliminates the burden on the user to pick the correct bin and guarantees sorted garbage.

Stage 3: Partner with trash collection facilities to build an automated sorting machine

This further eliminates the burden on the user to have sorted garbage.

Devpost: https://devpost.com/software/0waste/

Demo: https://kusha.me/0waste/