Team Name:
Quantium Quants
Team Members:
Quantium Quants
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.
The use of COVID-19 data from the dataset allowed for concise recommendations for a user.
Description of Use The project modelling required a broad use of datasets which meant looking at datasets such as this one.
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.
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.
