Showcasing our regions
How might we promote South Australian regions to boost regional development?
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 16 teams have entered this challenge.
Aquavo
Aquavo is a crowdfunding charitable organization to purchase/reserve water for more water-efficient usage and environmental water.
Through algorithmic trading, we will optimize the amount of water preserved and redistribute water to encourage water efficiency.
Contributors will subscribe while being incentivized by tax reduction, carbon offset credits, and educational impact. Furthermore, this helps with the social image of the contributors and can raise awareness regarding water resources.
AquaAlgo water trading system purchases water allocation credits using data science to optimize the contribution to efficient use and environmental water flows. This Machine Learning system analyzes data such as the river flow, rainfall amount, water trading prices, weather forecast, and Natural Language Processing analysis of River Murray flow reports.
Tables created are in the following links (also included under evidence of work):
https://public.tableau.com/views/MurrayFlows/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link
https://public.tableau.com/views/RainfallTrade/Sheet2?:embed=y&:display_count=yes&publish=yes&:origin=viz_share_link
https://public.tableau.com/views/TheRelationshipbetweenPricesandTradeVolumes/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link; https://public.tableau.com/views/Salinity_15678321275290/Sheet1?:embed=y&:display_count=yes&:origin=viz_share_link
Description of Use Data extracted using Python from datasets
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 16 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 23 teams have entered this challenge.
Eligibility: We suggest you consider using the Queensland Government open datasets on https://data.qld.gov.au/
Go to Challenge | 22 teams have entered this challenge.
Eligibility: Australia Only
Go to Challenge | 26 teams have entered this challenge.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 32 teams have entered this challenge.