High-Level Project Summary
We're addressing the issue of global warming which is due to the intensity of the greenhouse effect and provide a globally impactful solution. By using NASA data we showed the current global temperature anomalies as well as show how the temperature will change over the next 100 years. Besides, we plotted the seasonal and yearly trends. It will show us how temperature is changing over time. This will raise awareness among the unconcerned; keep the public informed, and visualize global warming’s destructive effects.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
First, in our ML model, we show a graph name “Global Temperature Anomalies” which shows current temperature anomalies. For this, we first imported the dataset of NASA, name NASA/GISS surface temperature analysis. In this dataset, we replaced the NULL values using the forward fill. We resampled the data and plot this curve. This is an interactive plot, and if we hover over the graph, we will see the date and temperature fluctuation.
In the second curve, we forecast temperature anomalies for the next 100 years so that we can see how the temperature fluctuates as a result of global warming. For this, we have converted our dataset in such a way that it meets the requirement of fbprophet model which is a tool of procedure time series analysis and then the data frame is fed into our ML model. Here, the upper region of the solid line indicates that the temperature is changing dramatically, while the lower portion indicates that it is now normal, but it should not be normal after 100 years.

And finally, we plotted the seasonal and yearly trends. It will show us how temp is changing over time. Here we can see the slope is increasing which is dangerous.

Here's a glimpse of our solution in mobile version:



Our solution will raise awareness among the unconcerned; keep the public informed, and visualize global warming’s destructive effects. The impacts of global warming are already being felt all over the world, and these will continue to worsen if we do not act now to limit global warming.
Space Agency Data
We used "NASA/GISS surface temperature analysis" for this solution. And also we used time series analysis to create a forecasting model based on the "GLB.Ts+dSST.csv" dataset.
Hackathon Journey
The 'Nasa Space App Challenge 2021' was the start of our Hackathon journey. This hackathon didn't get off to the same start as most hackathons. We were in our room and at our desk, rather than in a venue buzzing with anticipation and nerves for the upcoming 48-hour challenge.
We had to upload code, create videos to explain our project and write a description for our project.
We had several virtual meetings, during which we discussed our concept in greater depth, assigned roles to each of the participants, and discuss how to overcome a problem when a team member faced some issue.
Our team built this project using ML Time Series Analysis and some ML tools.
References
Dataset :
GLB.Ts+dSST.csv
Resources:
https://data.giss.nasa.gov/gistemp/
Tools:
Time series analysis
Model:
fbprophet
Tags
#mlmodel #risk #scienceapplications #globalwarming #temperatureprediction #temperature #temperatureanomaly #timeseriesanalysis
Global Judging
This project has been submitted for consideration during the Judging process.

