Awards & Nominations
Team Hawks has received the following awards and nominations. Way to go!
Home Planet at Your Fingertips
BE COOL AND LET THE EARTH BE COOL
Summary
Global Warming is one of the major issues in the world which results in climate change, the rise of sea levels etc. As engineers, we would like to address this issue by using advanced technologies. Our project uses datasets provided by NASA'S Goddard Institute for Space Studies(GISS) which monitors Climate Change on a global level. Since Co2 is one of the major greenhouse gases which is responsible for global surface temperature rise, we took the data of global surface-air temperature rise and global co2 concentration in(ppm) from 1958 to till date. Using this data we developed a predictive ML model which predicts a global temperature rise for the future years w.r.t the concentration of co2.
How We Addressed This Challenge
We have developed a website which includes interactive 3d graphics based on the datasets used and also has deployed our machine learning model on the website which predicts the rise in temperature levels based on the levels of CO2 emissions(ppm). This helps us to understand the rise in temperature levels based on CO2 emissions, which further helps to get a better understanding of what steps need to be taken in order to preserve the earth. The interactive 3d graphics shows the average temperature anomalies over land from 1910 to the present day in decades. Temperature anomalies are defined by the difference in temperature at a location between a given time period. The color and height of the spikes are jointly scaled to show how much the average temperature has changed from 1951-1980. Blue and purple spikes show temperatures cooler than the average temperature while red and yellow spikes show temperatures warmer than the average temperature. This helps us to achieve a better understanding of the threats caused by a rise in CO2 emissions which in turn leads to a rise in temperature which causes climatic change.
How We Developed This Project
Our motivation for working on this challenge is the inspiration we got after listening to Greta Thunberg, an environmental activist. Our approach to solving this problem was to make the best use of real-time datasets provided by NASA and use the power of machine learning and interactive 3d visual representations to address the issue. Coding languages used are HTML, CSS, JAVASCRIPT, PYTHON and BOOTSTRAP. Other than that we have used machine learning, webGL and data science to develop the project. The major problem in this challenge was data preprocessing so that we created a machine learning model to do the required predictions. The major achievement of our team was the exposure to real-time datasets provided by NASA and great learning experience for the past two days.
How We Used Space Agency Data in This Project
We have used NASA GISS datasets for developing the model and it has helped us to predict future trends of rise in temperature levels based on CO2 emissions. The datasets have also been helpful in order to create interactive 3D designs and achieve visual representations of the data.
Project Demo
Data & Resources
1) Nasa's global carbon dioxide concentration data
link:https://climate.nasa.gov/vital-signs/carbon-dioxide/
2) Nasa's Global temperature rise data
links: 1) https://climate.nasa.gov/vital-signs/global-temperature/