jjz17 / airflowiq

Real-Time Air Quality Insights Data Pipeline

AirflowIQ

A Real-Time Air Quality Insights Data Pipeline

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Air quality affects the air we breathe. There are many factors that can lead to poor air quality, but the two most common are related to elevated concentrations of ground-level ozone or particulate matter. Per EPA, ozone can cause a number of health problems, including coughing, breathing difficulty, and lung damage. Exposure to ozone can make the lungs more susceptible to infection, aggravate lung diseases, increase the frequency of asthma attacks, and increase the risk of early death from heart or lung disease. Similarly, particle pollution is linked to a number of health problems, including coughing, wheezing, reduced lung function, asthma attacks, heart attacks, strokes and even early death.

This project aims to generate timely reports on air quality to inform people when their local air quality is unsafe, and they should remain indoors or take precautions to protect themselves.

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Built With

This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

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Roadmap

• Upgrade from batch processing data (daily) to streaming with Kafka
• Migrate local setup to Docker containers and AWS
• Create dashboard for displaying and interacting with insights data
• Add Changelog

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE for more information.

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