Inspiration
Me and a teammate use nature as our comfort space, we hike, climb, and swim for our mental health. Seeing the pollution, trash, and damage humans have done to nature made us want to change it.
What it does
Users will access our website and answer a short questionnaire inputting data about their lifestyle. Then the data will be sent into a Google sheet and the python program will run, pulling the data from the sheet and running calculations to create subscores. These subscores are your Yellow Score (electric impact), Blue Score (Water/Litter Impact), and your Grey Score (Carbon Footprint). These subscores are all out of 10 (1 being very poor, 5 is average, and 10 is excellent) and are combined to create a Green Score out of 30. This score represents an individual or households environmental effect for that year. This will help users judge and improve their lifestyle to better help nature.
How we built it
Andrei worked on the web design, creating the website we use for the cover screen, survey, and results in html. Cody and I worked on the calculations trying multiple data languages, ending up settling with Python. Cade brought all the parts together using API for Google Sheets and other tools to merge the different parts.
Challenges we ran into
The first challenge was with our original data language R, at first we had done the bulk of the work and the website was completed. The R program wasn’t able to process certain variables and it was 3 in the morning at that point. We tried debugging till 6AM and eventually decided to sleep. We woke up at 8AM and rewrote it in Java. Then the next challenge was that we couldn’t find a usable API to use the Google Sheets and Website with java. We finally rewrote it all in Python with only 2 hours remaining.
Accomplishments that we're proud of
We are proud of meeting new teammates and combining our unique skills to turn the idea into a reality. Additionally we are proud of our efficiency and effort in this project. Time management was of utmost responsibility and making sure to take breaks and chill out in between so we don’t burn out. Our team balance is what we are most proud of. We are proud of completing all of our first hackathons.
What we learned
We learned how to use Python in 2 hours, it was our first project with it as well. We also learned a lot about time management and APIs. Overall the whole project building aspect was a great learning experience for all of us.
What's next for Planet Green
Planet Greens score criteria is going to be standardized, meaning that every year as the average statistics improve so will the code. Furthermore, every score you get you will have to do more to keep and improve as our planet improves as a whole. Additionally the data from users will be stored on Planet Green as a database with geographical data too. This lets you compare overall green scores of states and towns in the US and the subscores as well. This will lead to a lot of data analytics and research on how we can make more progress towards the environment. Big businesses get a Carbon Score and this helps with tax write offs and other things, we want this opportunity to be available to every household as well. Overall Planet Green is going to be a big change in the way environmentalism is viewed, since it will all be at the individual/household level.
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