Quants Generative AI

Project Info

Quantium Quants thumbnail

Team Name

Quantium Quants

Team Members

5 members with unpublished profiles.

Project Description

This project uses Generative AI to provide vulnerable Australian users with personalised health recommendations. Users fill out a form and their inputs are sent to OpenAI's API, our generative AI, where they are then able to recieve feedback based on their health rating generated with scaled multiple linear regression.

The user does not see their health rating in the UI, but would see their recommendations change depending on their input.

Data Story

The use of COVID-19 data from the dataset allowed for concise recommendations for a user.

Evidence of Work


Team DataSets

NSW COVID-19 cases by location

Description of Use The project modelling required a broad use of datasets which meant looking at datasets such as this one.

Data Set

Challenge Entries

Using machine learning and generative AI to improve health outcomes

How can machine learning or generative AI be used to help Australians to live longer, healthier, happier lives?

Eligibility: Any submission that uses machine learning or generative AI for the purpose of improving the health and wellbeing of Australians, or provides a use case for using machine learning or generative AI for improving the health and wellbeing of Australians.

Go to Challenge | 14 teams have entered this challenge.

Finding potential donors to support families in need

How can we identify where families who might have second-hand baby and children's goods to donate live, and estimate the volume of goods that could be donated to families in need through organisations such as Roundabout?

Eligibility: Eligible submissions will support organisations such as Roundabout to identify where families with items to donate might be, how many items they may have, and/or the impact of cost of living on service demand and/or donations.

Go to Challenge | 10 teams have entered this challenge.