Team Name:
Weekend Hackers
Team Members:
Weekend Hackers
We have focused on helping regional communities fill employment opportunities by making open source data available in a user friendly format. This enables underemployed and unemployed people access to the information that they need to make informed decisions regarding their future employment.
Our teams project was born from our inexperience and inefficiency with data gathering and preparation. From this experience, we envisioned a more friendly way for government data to be utilised by everyday individuals to make decisions that will benefit society by standardising and centralising data to allow Machine Learning Algorithms to perform data augmentation on a more detailed and human level, and enable augmented analytics.
We cross referenced data from the ATO, ABS and the LMIP datasets to project future growth opportunities for for individual industries, regions and wage growth.
Description of Use This data was used to project job opportunities when cross referenced with data from the ATO and ABS.
Description of Use This data was used to show industry employment and linked to regional data to predict job opportunities and growth in key areas.
Description of Use This data was used to map industry income by state. As well as to map projected income by industry.
Description of Use Using the Income value by location to give better visibility to job seekers regarding their projected income and where they fit within Australia.
Description of Use Used to link data sets in the ATO data to geographical location.
Go to Challenge | 38 teams have entered this challenge.
Go to Challenge | 24 teams have entered this challenge.
Go to Challenge | 27 teams have entered this challenge.
