GO MO GO

Team Name: 
GOMOGO

Meet Charlie, an executive for a multinational company with two kids and a dog. He loves fine dining but enjoys horseback riding with his kids on weekends. He was recently relocated to Melbourne on a new assignment from Brisbane. Becuase he was needed at his new job on short notice, he left his family behind in Brisbane and has been looking for a place to live. For now, he's living in a hotel room provided by his company - but has two weeks to find a new place to live. He misses his family terribly, and is eager to settle down to his new life in Melbourne with his entire family. 

Wouldn't it be nice if there were a tool to help people like Charlie find the perfect neighborhood? Perhaps if there was such a tool that can help him find the perfect safe, dog-friendly neighborhood with great schools where he has easy access to horseback riding, Charlie would already be reunited with his family. According to the Australian Bureau of Statistics, it is estimated that there are 340,000 people like Charlie, who made an interstate move in 2014~2015. 

Project GOMOGO seeks to equip people, like Charlie, who are either thinking about or need to relocate to a new area. We take basic information from the user, such as where they currently live, their profession, marital status and relevant family information as inputs. We then take this information, and based on the browsing data gathered from other users and publicly available census and Victoria's "Features of Interest" data, Project GOMOGO generates a list of suburbs that best match the user's profile and estimated needs. The user will be able to further refine the results based on their preferences and requirements. This information can either be portrayed as a map of the area or a list. This revision of GOMOGO is limited to the State of Victoria, Australia, but can easily be expanded on a nationwide, or even worldwide basis subject to data availability.

As usage increases, machine learning will kick in to create a more refined user profile.

GOMOGO uses both historical and current Census data provided by the Australian Bureau of Statistics, and "Features of Interest" data provided by the State of Victoria. Supplementary data to be used to refine search results can include crime statistics provided by the local police, income tax information provided by the Australian Tax Office, and information about schools and educational institutions.

Video Upload: 
Region: 
Team Prize Details: 
The University of Melbourne
Used Datasets: 
Dataset Name: 
Vicmap Features of Interest
Publishing Organisation/Agency: 
Department of Environment, Land, Water & Planning
Jurisdiction of Data: 
Victorian Government
How did you use this data in your entry?: 
The "Features of Interest" dataset provides information on the location of social services, such as childcare, schools, healthcare, fire and police, and parks. Based on this data and other user inputs, the solution will recommend possible matches to users' preferences.
Dataset Name: 
Census of Housing and Population
Publishing Organisation/Agency: 
Australian Bureau of Statistics
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
The census data gives us a socioeconomic profile of the residents of every community in Australia. This information will be matched against the user profile built from user input data to provide suitable locations.
Dataset Name: 
Property Prices
Publishing Organisation/Agency: 
Victoria Department of Environment, Land, Water and Planning
Jurisdiction of Data: 
Victorian Government
How did you use this data in your entry?: 
Cost of living is one of the metrics used in comparing and ranking matching suburbs. Housing prices will be used to refine matches and limit matches to those that users can afford.
Dataset Name: 
Crime Statistics by LGA 2013~2014
Publishing Organisation/Agency: 
Victoria Police
Jurisdiction of Data: 
Victorian Government
How did you use this data in your entry?: 
Crime statistics is one of the metrics used to profile suburbs. This will enable use to provide better matches to users.
Event Location: 
Melbourne Mapspace