Weather Mood Analyzer

Our program would use a dataset which analyzes how a mood trend would appear based on the weather. This program is unfinished, but has the potential to expand the environmental awareness of the user.

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Inspiration

We are brand new to coding. We just started this year since we are in the Computer science class. So when we heard that the theme was about the environment we immediately got an idea but not a basic idea. We wanted to make a weather app that correlates to your mood.

What it does

This weather app asks for the city that you are in. Once you tell it your city it uses the OpenWeatherAPI to pull the weather information of your location, and will tell you the weather information. After that, we tried to implement machine learning with the API OpenML. This will tell you that based off of your mood what you can do to make it better such as activities.

How we built it

We solely used python, but also used libraries and API's such as OpenWeatherAPI, and OpenML.

Challenges we ran into

As this was our first time creating a big project, we tried our best to make it as best as possible. However, this ended up in use biting off more than we could chew. But we still got the base part of the code working.

Accomplishments that we're proud of

Like we said above. We are brand new to programming. And we did not think that we would even be able to get this far, let alone learn how to use an API to help automate our program. Though we did not complete the project, and only 50% of it works, we are very proud of what we could do at this stage.

What we learned

We learned how to use and API, and also learned that joining this event wasn't for the winning, but for the learning. We learned that our mistakes although painful, taught us to improve our code and keep going.

What's next for Weather Mood Analyzer

In the future for our Weather app, we would like to develop this app with Machine Learning. Our Machine Learning API encountering bugs was a big disappointment, and it would improve our app a lot if we could fix it. We could also use a front end language to make it look better, as right now it only looks like words on a screen. We hope to work more on this project in the future, as we think it has great potential.

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