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Air Quality Predictor and Weather Application

                            tensorflow Build Status Dependencies Contributions welcome License

Key FeaturesHow To UseDownloadCreditsRelatedLicense

Key Features

  • Machine learning based Android mobile application to provide real time air quality index using camera images which is reliable and inexpensive
  • Smartphone users can take photos and estimate the real-time local air quality by themselves .They can know the air they breathe without need of Expensive and non portable meters.
  • App also offers recommendations to deal with high pollution situations and will also able to see weather details and future forecasting of weather of his his nearest cities and places.
  • User will also get Maps and Statistics of Weather.

Screenshots

How To Use

To clone and run this application, you should have Git, Android Studio installed on your computer. From your command line:

To get the code running just follow the following steps:

OpenWeather Api key

AirSense uses the OpenWeatherMap API to load pictures on the gallery screen. To use the API, you will need to obtain a free developer API key. See the OpenWeather API Documentation for instructions.

Once you have the key, add this line to the keys.xml file, in directory (app/src/main/res/values/keys.xml) in the project's root folder:

<string name="apiKey" translatable="false">"Your Api key"</string>

The app is still usable without an API key, though you won't be able to get Weather Information

Download

You can download the latest installable version of AirSense for android and ios.

Credits

This software uses the following :

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License

MIT


omkaracharekar.com  ·  GitHub OmkarAcharekar  · 

airsense's People

Contributors

bardiaalavi-2020 avatar omkaracharekar avatar

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