CircularNet: Reducing waste with Machine Learning

Humans do a poor job of recycling, with less than 10% of our global resources recycled, and tossing 1 of every 5 items (~17%) in a recycling bin that shouldn’t be there. That’s bad news for everyone — recycling facilities catch fire, we lose billions of dollars in recyclable material every year — and at an existential level, we miss an opportunity to leverage recycling as an impactful tool to combat climate change. With this in mind, we may ask ourselves – how might we use the power of technology to ensure that we recycle more and recycle right?


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