Habitasis

Team Name

Ctrl+Alt+Elite

Team Members

Project Description

Liveability in numbers.

Habistasis allows both individuals and policymakers alike to calculate liveability scores for postcode regions, with a breakdown on which stats contribute positive or negatively to an area's score, and its overall liveability. This insight allows for and promotes a more targeted and strategic plans, both individual and policy-level, to improve liveability in areas which need it most.

Habistasis additionally provides recommendations for government rebates, subsidies, and other schemes to individuals in low-liveability areas.

Please note: the Vercel application is currently unavailable. Please refer to https://github.com/ctrl-alt-elit3/habitasis#readme for information on setting up a local demo.

Data Story

Understanding:
We started to see how to best approach the problem - we looked at datasets from transport, housing, bonds, FuelCheck to see how we could make sense of it

Collation:
We spent time acquiring, processing, and collating data for analysis with automated tools and scripting to create a consistent format, "indexed" by postcode.

Constructing:
We started with a mockup of what the application should look like, with assets and a landing page, as well as the foundations for a scoring algorithm, that assigns scores to postcodes based on their average fuel prices, rental prices, and vehicle ownership.

Build:
Once we had a model for the scoring system, using Python (Flask) and React, we built an MVP: a web application with Python and React, where the user can enter their postcode, and the application calculates a liveability score for them.