Inspiration
We were inspired by Google Lens and wanted to work on something that brings light to the carbon footprint of various items.
What it does
The project lets you take a picture and calculates the carbon footprint of various objects in the picture. It also provides QR codes to more sustainable alternatives of the objects.
How we built it
We built it using YOLOv3 object detection model in python and OpenCV to detect objects. Then we created a dictionary that contains all the information about the various objects we can detect. The dictionary contains information to different links for sustainable alternatives which are shown as QR codes on a side window.
Challenges we ran into
We ran into challenges while trying to visualize a usable interface. However, we were able to clean it up using the help of OpenCV.
Accomplishments that we're proud of
We are proud of the project as a whole, utilizing an object detection model and making the connection between object detection and sustainability.
What we learned
We learned more about the use cases of OpenCV and how programming can be used to raise awareness for sustainability.
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