Clean App

Inspiration

Inspired by a lack of information upfront about the environmental impacts of a product.

What it does

Identifies objects via a camera and creates a summary based on their environmental impact.

How we built it

Used Python, The YOLO model, and OpenCV.

Challenges we ran into

Porting OpenCV to a java based application (so that the app could be used on a phone) proved to be difficult. It simply was not built for this kind of use. However, I am working on different possible implementations to solve this issue.

Accomplishments that we're proud of

Object recognition works well.

What we learned

I learned that I should move on if a challenge does not seem solvable in a limited timeframe. I wasted a lot of my time trying to port OpenCV to Android Studio.

What's next for Clean App

An app version that runs on a phone. Users can simply point their camera at an object. Additionally, I plan on including more descriptive graphics and breakdowns of the environmental impact of products. Carbon emissions, toxic chemicals, deforestation, etc.

Built With

• numpy
• opencv
• python
• yolo