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Predicting Future Changes in Student Housing Demand with AI

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Predicting Future Changes in Student Housing Demand with AI

Project Info

Data Diggers thumbnail

Team Name

Data Diggers


Team Members

Nianru Jiang

Tejus Rao

Ryan Fox

Tri Khuong Nguyen


Project Description

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 universities, addressing affordability and accessibility issues. This innovation supports Victoria's educational goals by attracting and retaining international students, ensuring they have convenient, affordable, and sustainable living options. Ultimately, our solution enhances Victoria's reputation as a leading education hub, fosters inclusive growth, and supports proactive urban planning for a thriving academic community.

Data Story

Our data is showing fluctuations of median and average rates across the intakes for universities and Melbourne been the home o all of international universities hosting international students, our data speaks of how the influx of foreign students affects the growth of housing rentals.


GovHack Hackerspace | https://hackerspace.govhack.org/

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Predicting Future Changes in Student Housing Demand with AI

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