Inspiration

The first step to solving a problem is to become aware of it. We heard about the drought in California and wanted to see how much an individual's location contributed to climate change and how they were at risk from different climate risks. We want to make everyone aware of their climate footprint.

What it does

Our app uses several pieces of contemporary technology such as Databases, Servers, XCode, and Machine Learning Models to determine the risk you could face due to climate change, and how much you contribute to it based on your location. All we need from you are your responses to a two-minute survey when you sign up with us, and we provide you with graphical and colorful information on how you can personally combat Climate Change in an interactive manner.

How we built it

Our front end was entirely built on Xcode and incorporates Maps API for is connected to a node js express server. The server is updated through the backend coded in javascript and built on MongoDB and Mongoose. Postman API was also used to send requests to the server.

Challenges we ran into

Originally, we were not able to find good data for the risk factors and carbon footprint factors for locations. Through many google searches, we were able to find the information even through it took a long time. Another challenge was not finding proper documentation for features we wanted to implement and having to find out a lot it on our own.

Accomplishments that we're proud of

We are proud of developing a working iOS app as a lot of our members did not have prior experience. We are also proud of developing the charts as that was a feature that all 4 of us worked on together to develop.

What we learned

We learned about how frontend, backend, and server worked together. We also learned about how taking shortcuts is not a good idea as we tried copying parts from on of our pages to others and that led to many more errors.

What's next for ClimateImpact

We plan on expanding our database to the nation while adding at least 5 more factors. This will more accurately help our users get the numbers for how at risk they are and how much they are contributing to the environment.

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