Entries to Forecasting Community Evolution: Leveraging AI and Historical Planning Data

Catalogue | Table
VCFuture

Problem Statement: Victoria continues to be the fastest-growing state in Australia, with our population projected to hit 10.3 million by 2051. The state's economy grew by 9.1% over the past two years, surpassing growth rates in NSW, Queensland, Western Australia, and Tasmania. In terms of busine...

Go to Project | NextGen

TransitPulse Explorer

<h1 style="text-align: center;">Mapping the Past, Forecasting the Future</h1> <h3 style="text-align: right;">TransitPulse Explorer</h3> <br/><br/> ## **Problem Statement**: As outer suburbs in Victoria continue to experience rapid population and housing growth, one of the most pressing ch...

Go to Project | SoDa Labs

CityZen

In today's rapidly evolving urban landscape, making informed decisions about where to live can be a daunting task. For first-time homebuyers or renters, factors such as safety, amenities, and community dynamics can significantly impact their quality of life. Existing information sources often fal...

Go to Project | Team CityZen Labs

VSafeRoute

VSafeRoute is an AI-powered web application designed to improve cycling safety and infrastructure in Victoria. By integrating Victoria Crash Data with the Principal Bicycle Network (PBN) data, the app identifies high-risk routes for cyclists and provides data-driven insights to guide infrastructu...

Go to Project | FedTech

InsightsAI

# Insights AI Governments and policymakers often face challenges in understanding the evolving needs of their communities, leading to inefficient resource allocation, delayed infrastructure upgrades, and slow responses to local developments. This AI-powered platform addresses these issues by...

Go to Project | Goldwyn

AI UrbanForesight

# Problem Statement Studies have shown that urban planners face significant challenges in predicting and preparing for future community needs, leading to inefficiencies and insufficient infrastructure development. Key issues include: - **Static Forecasting**: Traditional forecasting met...

Go to Project | Innov8Gov

EDDIE Development Needs Prediction

Machine learning can help us crunch data to better plan for the future. As early childhood development is critical to building our society's future, we have trained a random forest algorithm on over 50 variables from Victorian and Commonwealth datasets to predict the developmental vulnerability o...

Go to Project | Early Development Duo for Insights and Education (EDDIE)

Predicting Future Changes in Student Housing Demand with AI

Our project aims to revolutionize the housing experience for international students in Victoria by leveraging data-driven insights to optimize accommodation solutions. By analyzing historical data and predicting future trends, our tool identifies high-demand areas for student housing near univers...

Go to Project | Data Diggers

UrbIA: Urban Insights Atlas

Urbia: Urban Insights Atlas. Using the Digital Atlas of Australia (map, api, and data), and other relevant local data, UrbIA allows users to explore their environments and receive AI-generated insights on road safety, capacity forecasting, and urban sustainability. With UrbIA, users can react to ...

Go to Project | Banico Family

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