Project Story;
Inspiration:
Our inspiration sprouted from issues within the realization that much of pollution is caused by misplaced garbage.
What it Does:
Our project teaches people to complete weekly tasks that will eventually broaden your knowledge of trash sorting and the impact it can have. This app encourages people to perform eco-friendly tasks throughout the week . As tasks are checked off, they are completed, rewarding you with tokens. A scanning tool is also available to assist users in placing trash in the appropriate trash bins. This tool is capable of recognizing various types of trash and categorizing it. To raise awareness, there are articles that teach users how to be environmentally friendly and how their choices can affect change.
How We Built It:
We used an Xcode as an ID and swift for our programming language. Additionally we implemented Core ML as a framework for our object detection features for our app. Initially we used sketch for designing aspects of our app and implemented the user interface from sketch into xcode.
Challenges We Ran Into:
Some challenges we ran into was accuracy with our detection software. To fix this issue we attached more images from many different angles to provide more validation data. During the development of the application we stumbled into many problems. Potential bugs while training training model. Problems with user interface. Through many hours of debugging and reference from websites like github, we were able to find solutions to our problems. We also ran into the challenge of merging multiple functions. Though we didn’t have the chance to merge them all, we ended up with two solid apps.
Accomplishments I’m Proud Of:
An accomplishment that we’re proud of is understanding and coding a machine learning object detection device without any previous experience in something similar.
What We Learned:
From this experience we have learned much about brainstorming, coding, and team building. Along with those, this experience really improved and tested our patience and determination .
What’s Next for Trash Goals:
In the future, we hope to combine the two apps, implement more interactive ideas, such as earning badges and earning and spetokens.
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