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Team Name:

Maroochydooers


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Evidence of Work

#A Maroochydooers Project#

Project Info

Team Name


Maroochydooers


Team Members


3 members with unpublished profiles.

Project Description


EcoInsight

Our project harnesses the power of contextual data to transform and enhance AI tools, enabling them to deliver more tailored and relevant responses. By integrating rich contextual layers, we empower these technologies to not only inform and evaluate but also to strengthen our connections within the community. This innovation paves the way for AI applications that are not only smarter but also more attuned to the specific needs and nuances of the users they serve. We aim to redefine community interaction, making it more insightful and impactful for everyone.


#govhack2024 #unitywater #sunshinecoastcouncil #moretonbaycouncil smartcommunityai #contextualai #aiforgood #datadrivendecisions #communitytech #innovatetogether #tailoredai #enhancedinteractions #techforchange #communityconnection #aiinnovation #dataempowerment #aicommunityboost #futureofai #intelligentsolutions #techwithpurpose #aiandsociety #localtechimpact #digitaltransformation #communitydrivenai #relevantresponses #smartdatausage #communityinsights #evolvingtech

Evidence of Work

Video

Homepage

Team DataSets

Unitywater - Collaborative Intelligence for Clean Waters

Description of Use Tailoring Responses with Unity Water Data Our project at GovHack 2024 involved utilizing Unity Water's extensive datasets to deliver highly specific responses to community inquiries about environmental data. By tapping into diverse datasets such as mid-field monitoring data and estuarine marine data, we created a sophisticated AI-driven platform that could analyze and provide insights into environmental changes and trends. **The Challenge:** The main challenge was to integrate and process varied datasets to respond accurately to specific questions regarding environmental health and changes, such as water quality fluctuations in specific rivers or estuarine systems over a set period. **Our Approach:** We developed a system that could parse natural language questions and match them to the relevant datasets, extracting and analyzing the required information to provide precise answers. For instance, when prompted with the question about the water quality changes in the North Pine River between July 2018 and July 2023, the AI would: 1. **Identify the Relevant Dataset:** Based on the keywords in the question, such as "water quality" and "North Pine river," the AI determined that `unity_water_mid-field_monitoring_data` was the most appropriate dataset to use. 2. **Filter and Analyze the Data:** The AI used specific fields from the dataset that related to water quality indicators, such as Dissolved Oxygen, pH, E. coli, Chlorophyll a, and Total Phosphorus as P. It filtered the data to include only those entries from July 2018 to July 2023. **Implementation Example:** Here's a Python code snippet that demonstrates how the AI would filter the dataset to retrieve and analyze the required information: **Outcome:** Our system provided a detailed overview of how water quality parameters have changed over time at specific locations, aiding in environmental monitoring and community awareness. This tailored approach not only increased engagement but also encouraged data-driven community actions towards environmental stewardship. ### Conclusion Through the integration of context-aware AI and detailed environmental datasets, we successfully created a tool that offers precise and relevant responses to community inquiries, thereby enhancing the relationship between data science and community service. This project stands as a testament to the potential of AI in fostering a more informed and proactive community.

Data Set

Sugar Bag Road Recreation Reserve Alpha X Object Counter

Description of Use The data is shown in an accessible and specific format when our app is asked with something to do with traffic/foot traffic along sugar bay road.

Data Set

Redcliffe Weather Station Data

Description of Use The data is shown in an accessible and specific format when our app is asked with something to do with weather in the Moreton bay area

Data Set

Unitywater - Collaborative Intelligence for Clean Waters

Data Set

Challenge Entries

Collaborative Intelligence for Clean Waters

How might AI enhance environmental governance in the Pine Rivers catchment through improved data management, integration, and reporting? How might we integrate diverse datasets and identify trends to improve decision-making and foster collaboration to support community and environmental wellbeing?

Go to Challenge | 9 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?

#Living better together

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay region (City of Moreton Bay) 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 | 16 teams have entered this challenge.

Smart infrastructure for data-driven decision making

How can the council leverage climate and movement data from its multi-function poles, sensors and devices to improve asset management, optimise services, and/or design cleaner, more livable urban spaces?

Go to Challenge | 16 teams have entered this challenge.