As individuals that suffered from asthma in the past, such an app would have been useful in taking preventive measures.

What it does

Our program predicts future pollutant levels so that a user may adequately prepare for said day by taking their inhaler or avoiding outings on said day.

How I built it

It was built with Azures Machine Learning module using boosted decision trees.

Challenges I ran into

Working around Azure was difficult because it was our first time using it and it wasn't very intuitive.

Accomplishments that I'm proud of

A robust model with good prediction accuracy.

What I learned

How to implement machine learning models on Azure.

What's next for Air_Quality_Control

An add on mobile application to make the program more convenient.

Built With

  • azure-html-javascript
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