Coded by :

• Martin Caron
• Axelle Arnaud

• Our app acts as a Starbucks locator. From a distant server, via an API, it fetches, saves et displays the starbucks available through the API
• We used the OpenData data

• This app feature two activites and 3 fragments

  • Starbucks List: List all the Starbucks stores that were fetched from the Opendata API. Details are provided for every Starbucks Store, through the launch of a new activity which displays the information of the selected Starbucks Store and randomly displays an Starbucks Store image from a pool of ten presaved images (our API did not have any image to fetch).
  • Maps: Look at all the starbucks, straight from a map
  • App Details: Please send us a feedback on how you like the app, email addresses are already set ;)

• Action bar: features a database refreshment mecanism. The data is fetched to a distant server using the Opendata API. The received data is coded through a JSON format. Raw data includes location (longtide, latitude), city and address.

• App can be used offline, thanks to a database that saves the Starbucks data. The database is refreshed on app opening, provided the device has got access to the Internet. The databse can also be refreshed manually through a dedicated button in the action bar.

Disclaimer : The app features a limited amount of Strabucks Stores. It comes from the fact the API has only a limited number of those... Don't be surprised if you don't find your favorite Starbucks Store in Grenoble... ;)

• GMS (Maps)
• Retrofit (Fetches the Starbucks data form the API)
• Room (Database Management)

Recquirements

• The goal of the project is to create an application to visualize a series of OpenData data
• The data will have to be retrieved from a remote server and displayed in a list and on a map
• Clicking on an item in the list or on a marker on the map gives access to a screen showing the details of the item
• A screen will present general information about the recovered data

• OpenData data format :
  • Json Format
  • Field matching the url an image URL
  • Field matching a position
• 3 fragments and 2 activities minimum app
• Actionbar at the top of the app with data refreshment feature

• Improved user experience:

  • Clustering of markers on the map according to the zoom level
  • Setting up a search/filter system on the displayed list

• Technical improvment:

  • Setting up a local database to display the item list in offline mode
  • Using LiveData or Observable for data recovery in the database