High-Level Project Summary
The project is based on data analysis, presenting the results of climate change resulting from global warming, predicting its future effects on various regions and countries in the world, and educating people about the future risks resulting from it and its effects on health, economy, industry, trade and the environment.The importance of this helps countries make better decisions to reduce the risks of global warming, reduce the damage it causes, and increase users' awareness of numbers and statistics to solve current problems.We've built a desktop program in Python that analyzes and displays data concisely and clearly using graphs and can predict future climate impacts based on evidence.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Using visualization tools and machine learning algorithm, we were able to visualize the percentage of global warming based on data provided by nasa in the pass few years and also the percentage of carbon hydroxytoid in the air also by data provide by nasa websites, And also we used linear regression to predict the percentage of carbon hydroxytoid in the air in the next few years,
What we hope to achieve is to keep humans in caution of thier actions of pollution and make an action before it's too late.
we used python programming language and Pycharm IDE .
Space Agency Data
We used data from carbon monitor website help us too analysis and get insight about carbon effect.
Hackathon Journey
We learned how danger global warming is and that humans need to take immediate actions and also learn how to visualize data and use machine learning techniques to help solve toxic problems that the world is facing.
References
https://carbonmonitor.org/
https://www.kaggle.com/berkeleyearth/climate-change-earth-surface-temperature-data/code
Global Judging
This project has been submitted for consideration during the Judging process.