Impact of CO2 level in Oceans

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  full regression model

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  scatter plot with our regression line(zoomed in)

Inspiration

What it does

Our project was to build an AI/ML model to analyze the various parameters like co2 level, o2 levels, salt levels and other impurities to come up with an index value which indicates how severely a particular region is affected. We also sorted the effect year wise by taking an average index for a particular year. Our ML model is a regression model.

How we built it

We found datasets with a lot of useful info and parameters from which we analyzed and came to a conclusion that certain parameters like the ones mentioned above are very important and we also came up with an index value to form a relation between these parameters. We then initialized a regression model and processed our dataset based on the values we need. This trained model was then used to plot various graphs and its regression line which can be used for future predictions and a deeper analysis.

Challenges we ran into

Finding the dataset was really difficult as most of the data available were of atmospheric CO2 levels, whereas we needed CO2 levels in oceans. The ML model was inaccurate initially which we then resolved.

Accomplishments that we're proud of

We built a good ML model which can predict index values to show the effect in various regions which would be very useful since global warming and climate change is a huge issue as of now.

What we learned

We learned a lot about climate change and its adverse effects on our planet. We also learned how to search for a good dataset that has everything you need and gained technical knowledge about how to integrate AI/ML in various aspects of our life. We also learned the importance of team building.

What's next for Impact of CO2 level in Oceans

If we can take this project further, we can build on our existing ML model and maybe even come up with a better one that can take even more parameters and better analyze the effects and also let people know which areas need a little more attention and how we can avoid such situations happening everywhere.

Built With

• ibm-z
• jupyter
• python