Greeny
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Date
2023
Authors
Noor Braik
Khalid Jabr
Journal Title
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Volume Title
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Abstract
The world is currently facing a growing waste management crisis as more rubbish is
throwed every day. This not only contributes to environmental contamination but also poses
a threat to both human health and the welfare of wildlife. If we want to successfully address
this issue, we must develop novel, creative methods for managing rubbish. The necessity to
find a solution to the issue of improper and ineffective waste management techniques served
as the inspiration for the ”Greeny” project.
By sorting waste into classes including plastic, glass and other classes using machine
learning, the initiative aims to increase the effectiveness and accuracy of trash management.
As well as offering the authenticated users a point system, which basically will add points
based on the waste type a user has dropped. User will be authenticated by 2 methods,
either by scanning the QR code, or by entering his unique ID. Additionally, Greeny will keep
users informed about the status of the bins, including the capacity for each bin, which will
be stored into database, Therefore, it will alert authorities to empty it immediately if it fills
up. By allowing for the correct recycling of various waste kinds, this not only benefits the
environment by lowering the quantity of garbage that ends up in landfills but also encourages
sustainability.
In essence, With Greeny, people are encouraged to embrace sustainable behaviors, contribute
to a cleaner environment, and adopt good trash disposal habits. In the end, this
creative waste management approach may help create a community that is greener and more
environmentally conscious.
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