DataTuba Members: Catherine, Lilanee, Pete, Peter, Shreya, Wendy and Yuveena.
We are a team of seven data science novices. Big on ideas but still growing in skills.
The starting point was to look at ways of encouraging people out of their cars and back on to public transport to help solve Sydney’s congestion problems.
Initially, based on the idea that Sydney traffic feels like it comes to a standstill on hot or wet days, could we encourage people back to public transport on those days if they knew they could easily get a seat? Alas the usual problems data scientists experience when it comes to accessing big data were exacerbated by the short time frame allowed.
Our next idea came from team banter about scenic cycling routes and the difficulty of navigating Sydney when you’re new to our city.
Scenit is a navigation app that doesn't just show you the shortest route, it shows you something more scenic. With crowdsourced data and social media scraping, users will be introduced to some popular locations, those with accessibility issues could also upload their trips for others to trace.
More people on footpaths and cycle paths means less congestion, better health outcomes and, by using crowdsourced data, a stronger sense of community.
This repository contains a mock-up of the scenit app, written using Apache Cordova. Maven. In its current state, it does not implement the intended functionality, just emulates how it is intended to appear.