The web application namely Miria was developed to give employment information based on the location provided by the user. The employment information throughout Australia is used to help the user determine if a location is suitable to their needs.
The parameters for the web app includes: current location, future location, industry and age. These parameters are processed by the web app to produce information based on the scenario and given input.
Due to limited knowledge of the SEAN(SQLite, Express, Angular and Node.js) stack the front end was not created in time and with full functionality.
The work achieved over the weekend was the determination of using various datasets, cleaning up the datasets, migration into the database, creation of various scenario web services and the partial creation of the front end of the website.
Through the datasets provided, many scenarios were mapped out and their various web services were created to facilitate the calling from the database.
These are the scenarios:
Average HELP debt based on occupation and location.
Average income based on age and location.
Employment statistics based on industry and location.
Percentage HELP debt based on location.
Singles based on location.
Vacancies based on Industry and location.
The services can be viewed to see what data has been returned:
An example being: http://18.104.22.168:9000/api/incomeByAgeATOs?postcode=4000&age=21
The other various services can be viewed in the source code in the repository.
Website screenshot: http://imgur.com/j5QGjwh