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Team Name:

The Invasives


Team Members:


Evidence of Work

Invasive Species Detection Application

Project Info

The Invasives thumbnail

Team Name


The Invasives


Team Members


Tom , Nik and 3 other members with unpublished profiles.

Project Description


Invasive species are often introduced to the area and cause significant damage to our native wildlife and plants. They can also cause ecological and health problems as well. It is estimated that invasive species cost Australia a total of $24 billion year in impact and damages.

Currently, the method for the public community to report invasive species is through filling out an online form.

Our team proposes a solution to help aid the City of Moreton Bay in identifying and recognising invasive species by utilising AI to distinguish them in pictures submitted by the public. It is hoped that by implementing AI in the process of public submissions that it helps reduce the time needed to inform the council about the issue and ultimately makes it easier for the public as well.


Data Story


To identify our objective, we went to uncover data about invasive species identification. With this being the case, we initially researched fire ants and their effects in Moreton Bay. where we were able to find data detailing monitoring, identification of the invasive species and the biosecurity zones.

Cane toads were also researched, before it was decided it would be more beneficial for the overall objective of this task to outline invasive species as a whole instead, widening the amount of data we used and the effectiveness our solution would hold. A number of sources from the Queensland Government’s Department of Agriculture and Fisheries site was used, which further specifies and highlights invasive species in the area and how to deal with them, which can help us identify data points which will benefit the use and execution of our app.


Evidence of Work

Video

Homepage

Team DataSets

Table of introduced and invasive species in Australia by biological group

Description of Use For data gathering, and future use of invasive species identifying.

Data Set

Challenge Entries

Generative AI: Unleashing the Power of Open Data

Explore the potential of Generative AI in conjunction with Open Data to empower communities and foster positive social impact. This challenge invites participants to leverage Generative AI models to analyse and derive insights from Open Data sourced from government datasets. By combining the power of Generative AI with the wealth of Open Data available, participants can create innovative solutions that address real-world challenges and benefit communities.

Eligibility: Ethical use of a generative AI in your project and at least one Australian or New Zealand data set.

Go to Challenge | 29 teams have entered this challenge.

Moreton Bay greening as we grow (QLD)

How might we harness the power of the everyday citizen to help protect our diverse flora and fauna as we grow our region; creating a diverse and flourishing planet for generations to come?

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay region (City of Moreton Bay and/or Unity Water) data set. Employees of City of Moreton Bay with a direct working relationship with members of the local Moreton Bay Gov Hack node organising committee are ineligible to apply for this prize. If unsure, please feel welcome to check and discuss via Slack channels upon commencement of the event.

Go to Challenge | 11 teams have entered this challenge.