TempProject

Inspiration

We were inspired by environmental conservation and wanting to teach others about the impact of the climate

What it does

We have a scrollable website that informs users about how the climate has been like through the ages until the present day. And then for the future we have predicted deforestation rates, sea level rise and our future predictions.

How we built it

Python - dataset processing and creating chloropleth maps, graphs for deforestation rates
HTML, JavaScript, CSS - website design

Challenges we ran into

One challenge is that certain countries are not showing up on the choloropleth map even though their is data is present on the dataset. To combat this for Brazil for example we have created a graph for predicted deforestation rates and data from the dataset
Another challenge was implementing functions in JavaScript

Accomplishments that we're proud of

Using libraries in Python to create linear regression models, graphs and maps
Creating a user friendly and informative website
Finding and implementing equations into the website for sea level rise

What we learned

Learnt more about dataframes and processing data in python
For some of us , we didn't have that much experience in JavaScript so we learnt how to use this language

What's next for TempProject

Use AI instead of statistical models to predict future scenarios
We would like to predict data for natural weather disasters such as hurricanes in order to understand more about the frequency of these.

Bibliography for datasets : https://docs.google.com/document/d/13Sfo0it6DL_f8qdzjo3n3rMf2qP7xJGAXQxhg58HO3U/edit?usp=sharing