Quirky Canberra
Awarded to the team who uses data to highlight the quirkiest facts about Canberra that changes people’s perceptions of the city
Go to Challenge | 8 teams have entered this challenge.
Team RGB(255,0,0)
With our capital cities overflowing, it's time for a mass sea change. Use Reloqtr to set your preferences and be connected to the hottest Australian towns and suburbs in regional areas. Goodbye morning commute!
Reloqtr makes use of a range of open geospatial datasets from the ACT Government and the Australian Bureau of Statistics. These datasets provide information about facilities and services available in regional Australian towns and suburbs. These datasets were used to construct our innovate AI model which takes a user's lifestyle preferences and computes the best town on suburb to suit the user's desired lifestyle.
Description of Use Used in AI models to determine the importance of commute times on choices
Description of Use Used in the AI model to determine suburbs for active people
Description of Use Used in AI model to determine suburbs for active people
Description of Use Used in AI model to determine suburbs for active people
Description of Use Used in AI model for people that like sport
Description of Use Used in the AI model to determine liveability scores for suburbs
Description of Use Used in AI model to find suburbs that dog owners would like
Description of Use Used on conjunction with other arts data
Description of Use Used in AI model to determine health locations for users
Description of Use Used to collate all data against a defined suburb
Description of Use Used in conjunction with other arts data
Description of Use Used in the AI model to find suburbs with lots of arts facilities for people that want that
Description of Use Used to get population data for the app
Go to Challenge | 8 teams have entered this challenge.
Go to Challenge | 49 teams have entered this challenge.
Go to Challenge | 9 teams have entered this challenge.
Go to Challenge | 13 teams have entered this challenge.
Go to Challenge | 27 teams have entered this challenge.