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Team Name:

Lol Lol

Team Members:

Evidence of Work

Neighbourly

Project Info

Team Name

Lol Lol

Team Members

AC , SK

Project Description

An AI and data driven approach to discovering, creating and nurturing our beautiful and lively neighborhoods in NSW.

The project uses Australian census data , NSW housing data along with ATO , Bocsar (NSW) , NSW health , NSW Planning to give a clear story regarding the different suburbs in NSW so that residents can make informed choices in finding the most cost effective as well as family friendly suburb for themselves to rent or buy.

Evidence of Work

Video

Homepage

Team DataSets

HealthStats NSW

Description of Use The data from health stats have been used to determine trend in mental and physical health issues by each LGA.

Data Set

Bocsar Crime Stats

Description of Use This dataset has been used to determine crimes that happened in various NSW suburbs

Data Set

NSW Administrative Boundaries Theme – Local Government Area

Description of Use This dataset has been used to convert various other data from suburb to LGA data.

Data Set

Australian Census Data

Data Set

NSW DCJ Rental Data

Data Set

NSW Housing Data

Data Set

Challenge Entries

Best Creative Use of Data in Response to ESG (AU)

How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?

Go to Challenge | 31 teams have entered this challenge.

Alternate transport

How can we make NSW a cycling-friendly state?

Go to Challenge | 12 teams have entered this challenge.

The 2021 Australian Census

How might we link the 2021 Census data with open data to highlight or solve a challenge Australians are facing

Go to Challenge | 24 teams have entered this challenge.

The NSW housing crisis

With the skyrocketing cost of living, how might we use open data to find affordable housing in the current rental and housing crisis?

Go to Challenge | 5 teams have entered this challenge.

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