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Trashly was designed for those who prioritize reducing waste and disposing of trash responsibly and provides the tools to identify and properly dispose of unique items. Using the device camera and powerful machine learning capabilities built directly into Android devices, the app allows users to scan their items into the app. By analyzing the material composition through a custom TensorFlow Lite model (model created specifically for execution in the mobile app rather than in the cloud), the app then makes a recommendation for how to dispose of the item based on the user’s location. For items that cannot be recycled at home, Trashly finds and recommends nearby facilities where users can drop off their items. For items that cannot be recycled, Trashly makes recommendations for how to compost the item or where to donate it, to ultimately prevent waste from going to landfills. The Android Dev Challenge-winning app remembers items users have scanned previously, making it easy to simply search the item history rather than having to scan an item each time. To gamify the recycling experience, a game component has been built into the app –reinforcing recycling practices. It was developed using Flutter technology and then integrated into the native Android application and aims to make users more excited about being environmentally-responsible. The app maintains an impressive 4.09 rating in Google Play and the creators are in discussions for converting the app to a corporate sustainability solution at the request of a large IT company.
Contributors:
Product Owner: |
Elvin Rakhmankulov |
Solution Architect: |
Gabor Daniel Vass |
Business Analyst: |
Yury Ulasenka |
UI/UX Lead: |
Arthur Dickerson |
ML Lead: |
Dmitrii Nikitko |
Android Developer: |
Lajos Nyeki |
Game Designer: |
Alexey Tarasenko |
Content Strategist: |
Nicole Hess |
QA Lead: |
Alina Kunitskaya |
Project Manager: |
Maxim Leykin |