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    Silver Lions - The Trash Collective

    by Sambhav Anand 09/20/2019 04:21 PM BST

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          Description

          Most PET bottles are used once and thrown away in dumping sites, with minimal to no recycling. People are not incentivized to collect trash and dump it because it has a very small perceived impact on the environment. Waste workers are unable to find all the littered PET bottles since there is no indexable way to find them. 

          The trash collective has two components:

          First, it rewards people to tag and dispose of plastic bottles, the points provided in these rewards can be exchanged for points with potential local and global partners that emphasize action for rewards (Eg. global citizen). All you need to do is text our live number with a picture of a PET bottle. 

          Second, we provide waste workers with a data visualization platform that allows them to go to the nearest littered bottle, pick it up, and drop it off at a nearby recycling station. The workers are able to update the dataset of litter in real-time as they do clean the streets.

          Co-authors to your solution

          Jackson Chen, Kanishk Vashisht, Rahul Kataria

          Link to your concept design and documentation

          Link to an online working solution or prototype

          https://un-waste-management.firebaseapp.com/map ; text 205-649-5605 with a photo

          Link to a video or screencast of your solution or prototype

          https://drive.google.com/file/d/1ZSUhAQuTPs1so59GhB3OxSXDNnlX57yD/view?usp=sharing, https://drive.google.com/file/d/1jLh3KmDotIK9ny2DL0A2D49flDXQDiPV/view?usp=sharing

          Link to source code of your solution or prototype above. (If you submitted a link to an online solution or prototype, or to a video of your solution of prototype, you must provide a link to the source code.)

          https://drive.google.com/file/d/1LNM3TyXGF7j9g6dq4bQaGKgdcBCc3SA6/view?usp=sharing

          PET,Plastic-Recycling,Waste-Management,Public-Private-Partnerships,Computer-Vision,Machine-Learning,AI,Texting-platform,

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            Judge review 11/04/2019 Incomplete
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