Team Name

Always Aus

Team Members

Project Description

GenNow

GenNow is an application designed to aid policymakers in developing strategies to enhance youth engagement in post-secondary education. This project concentrated on identifying some risk factors that hinder youth participation in post-school studies. For a detailed case study utilizing Australian census data, please refer to the accompanying data story.

AI Model Training Objective

Our aim in training an AI model is to:

1. Identify census data based on postal codes.


2. Analyze this data using a risk ruler to assess various financial factors.


3. Consolidate all risk ruler scores to determine a comprehensive rating.


4. Interpret these ratings to gauge the urgency of implementing community support measures.

Future Model Applications

In the future, this model could potentially:

• Generate tailored recommendations and support interventions.


• Leverage news, statistical trends, and additional datasets (e.g., educational institution data, employment records, social media) to address identified risks and improve community outcomes.

Data Story

The Engagement in Youth

Introduction: A surprising statistic in youth engagement that are pursuing post school study.

Problem: The challenge of identifying risk factors stopping youth from engaging in post school studies.

Data from : Australian Bureau of Statistics (2021)

Data shows that : Community with lower household income will have lesser percentage of the population engaging in post school studies.

Insights: By identifying the lower weekly household income leading to a lesser percentage of the population engaging in post school studies, this is one of the risk factor lowering the engagement of engaging in post school studies.

In the AI model , weekly income will be graded based on the median weekly household income of Australia giving it a score following guidelines of the risk ruler.
With the sum of all the other risk factor in play, this community will attain a rating with a call of actions for policy makers to prioritise actions to minimise the level of risk in the community.

Conclusion: A call to action for policymakers to use GenNow to identify risky communities, implementing measures to improve the outcome of engagement for a particular community.