National Science Foundation Awards Litterati Grant to Advance its AI for a Cleaner Planet

The funds will go towards building out Litterati's taxonomy which currently applies a COMB framework - Category soda / Object can / Material aluminum / Brand Coke. This system is the foundation for a smarter tagging system, where machine learning is applied to the images, presenting a list of tags with increasing precision. By building a more granular database, Litterati can derive more specific insights about the types of litter seen in various communities.