Countree

Project Info

Team ExperienceSA thumbnail

Team Members


Sai Valipireddy , Amit , Shub and 1 other member with an unpublished profile.

Project Description


The Countree app:
- Gives the government an opportunity to showcase their regional areas in an interactive and intuitive way.
- Helps the government prioritize their regional investment by using the predictive model and collecting user feedback.
- Exposes citizens to employment opportunities in regional areas, benefiting both the state and its people.


Data Story


A key way to promote and encourage citizens to move to regional areas is by showcasing the advantages of moving there, showing the potential and employment opportunities to them. Analysing the ATO - annual income dataset, we found out the income disparity for some employment types in regional and metropolitan areas. This could be exploited to promote city to town migration.
We also came up with an AI Model using the following datasets:
1) EPA SA - Recent Air Quality
2) ATO - Rental dataset by State and postcodes, Annual incomes by occupation groups Census data
3) Labour Force Data
4) ABS Jobs in Australia data set
5) ABS Industry data sets
6) ABS Population data sets
7) IndustryAssociation Growth Plans

to come up with a predictive AI model that compares overall livability of a person based on their details in different regions of the country.


Evidence of Work

Video

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Team DataSets

TM-Link

Description of Use All the data tables relevant to trademark application are used to build interactive visuals to help businesses and IP offices make better decisions.

Data Set

ATO Data

Description of Use The data showed disparities in Incomes for same occupations across regions/territories and the expenses of individuals. These variations to be modelled to identify the best fit region for a person to move to, to have better lifestyle, cut down on expenses and provide other better livability factors.

Data Set

Air Quality Monitoring Sites

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Regional Population Growth

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Australian Demographic Statistics (population estimates)

Data Set

Population Projections

Data Set

Challenges

Showcasing our regions

How might we promote South Australian regions to boost regional development?

Go to Challenge | 16 teams have entered this challenge.

ATO for individuals

How can ATO and other Australian public data be used to help the community fill employment opportunities?

Go to Challenge | 27 teams have entered this challenge.

Investing in Regions

How might the Government prioritise its investment in regional South Australia for greatest regional development benefit?

Go to Challenge | 10 teams have entered this challenge.

Australia’s Future Employment

Choose one of the following questions to address: 1. How can recent and future changes in the labour market help prepare young people for job opportunities? 2. What can we learn from case studies of regional labour markets? For example, what does rapid change in the industries or occupations within a region tell us about the needs of employers/workers in other regional labour markets

Go to Challenge | 38 teams have entered this challenge.

Local Government Information Technology Association of South Australia

How might we identify opportunities for improvement or new Council services, infrastructure and facilities to benefit community outcomes in South Australia?

Go to Challenge | 15 teams have entered this challenge.

Queensland OpenAPI

Create a project using one or more of Queensland's Open-API’s

Go to Challenge | 39 teams have entered this challenge.