Fixes to strings.xml, new screenshots, app description and README.md
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# Look4Sat: Radio satellite tracker
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[<img src="https://fdroid.gitlab.io/artwork/badge/get-it-on.png" alt="Get it on F-Droid" height="80">](https://f-droid.org/packages/com.rtbishop.look4sat/)
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[<img src="https://play.google.com/intl/en_gb/badges/static/images/badges/en_badge_web_generic.png" alt="Get it on Google Play" height="80">](https://play.google.com/store/apps/details?id=com.rtbishop.look4sat)
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[<img src="https://fdroid.gitlab.io/artwork/badge/get-it-on.png" alt="Get it on F-Droid" height="80">](https://f-droid.org/packages/com.rtbishop.look4sat/)
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[<img src="fastlane/metadata/android/en-US/images/bmc_button.png" alt="Buy me a coffee" height="80">](https://www.buymeacoffee.com/rtbishop)
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Amateur radio and weather satellite tracker and passes predictor for Android.
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The very app creation and design is hugely inspired by the open-source [Gpredict](http://gpredict.oz9aec.net/) desktop satellite tracking application, created by [Alexandru Csete, OZ9AEC](https://github.com/csete) and contributors, supported by the [Libre Space Foundation](https://libre.space/).
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The [Libre Space Foundation](https://libre.space/) team is also behind the epic [SatNOGS](https://satnogs.org/) project that provides an extremely easy to use [API](https://db.satnogs.org/api/) and [DB](https://db.satnogs.org/) with a huge amount of information about satellites, their telemetry and transmitters, which the app uses under the hood.
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For TLE data calculation and passes prediction Look4Sat uses the mavenized version of [predict4java](https://github.com/davidmoten/predict4java) library, created by [David A. B. Johnson, G4DPZ](https://github.com/g4dpz) and [Dave Moten](https://github.com/davidmoten). Thank you guys for your hard work making this lib efficient and easy to use!
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Also, I'd like to mention Dr T.S. Kelso for his invaluable contribution to the industry and for his [Celestrak](https://celestrak.com) website, that stores, updates and provides access to TLE data.
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The app is built using Dagger2, Retrofit2, Kotlin and Kotlin coroutines, Architecture Components and Jetpack Navigation.
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### Open-source amateur radio satellite tracker and pass predictor for Android
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<p float="left">
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/1.png" width="250"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/2.png" width="250"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/3.png" width="250"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/1.png" width="210"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/2.png" width="210"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/3.png" width="210"/>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/4.png" width="210">
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</p>
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<img src="fastlane/metadata/android/en-US/images/phoneScreenshots/4.png" width="750">
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### Let this app look for satellites for you!
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Thanks to the huge database provided by Celestrak and SatNOGS you have access to more than 3000
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active satellites orbiting Earth at this very moment. You can search the entire DB by satellite
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name or by NORAD catalog number. Track them with ease!
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Satellite positions and passes are calculated relative to your location. In order to get reliable
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predictions set the observation position using GPS or QTH Locator in the Settings menu.
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The application is built using predict4java library, Kotlin, Coroutines, Dagger2, Retrofit2, Moshi,
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Architecture Components and Jetpack Navigation. It is now and always will be completely ad-free
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and open-source.
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## Main features:
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* Calculating satellite passes for up to one week (168 hours)
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* Calculating passes for the current or manually entered location
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* Predicting satellite positions and passes for up to 4 days (96 hours)
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* Showing the list of currently active and upcoming satellite passes
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* Showing the active pass progress, polar trajectory and transceivers info
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* Showing the satellite positional data, footprint and ground track on a map
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* Offline first: passes predictions are made offline.
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Weekly updates of TLEs and transceivers DB are recommended.
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* Custom TLE data import is available via files with TXT or TLE extensions
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* Offline first: calculations are made offline. Weekly update of TLE data is recommended.
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