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Winning submission for the Francis & Rose Yuen East Asia Hackathon 2020. LEAF is an interactive educational web app for the future generation to learn about their carbon footprint.

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Leaf Web App

Here is Team One's repository containing a prototype of the our winning submission for the Francis and Rose Yuen East Asia Hackathon.

Challenge

Mapping Personal Carbon Footprint - little changes can make a big difference in climate change. We can all be a part of the environmental solution. Your challenge is to innovate sustainable solutions to climate change by mapping personal carbon emissions. Your solution may aid policy makers, scientists, businesses, government agencies, and/or individual consumers, in their global or local decision-making and plans for the future.

Solution

LEAF is an interactive and education app with the goal of educating children about what the carbon footprint is and how they can take measures directly from home. Users can upload an image of their room and click on various household items in the photo to learn about the items' carbon footprint. The image segmentation is implemented using Amazon Rekognition software which uses machine learning to identify objects in an image and provide labels for them. We used these labels to provide relevant carbon footprint reducing suggestions. At the end of the program, users are able to calculate their own carbon footprint, utilizing the CoolClimate carbon footprint calculator.

For more information, please visit https://www.bryange.com/leaf.

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Winning submission for the Francis & Rose Yuen East Asia Hackathon 2020. LEAF is an interactive educational web app for the future generation to learn about their carbon footprint.

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