Encouragement Award

Supported By: 
Tasmanet

For the team that shows the most promise throughout the event.

Building Chocks of Tasmania

Team Name: 
Chocolate Moulding Dept., Hobart Hackespace

The tastiest data visualisation you'll see all day!

Our project aims to produce tasty chocolate treats of parts of Tasmania.

Tasmanian Crash Hotspots

Overview of the project results
Team Name: 
MapMap

Tasmanian Crash Hotspots

Where do accidents happen a lot? What are the roads like in those areas? Is there a link?

There is a dataset of car crashes all over Tasmania, but it doesn't tell a story. Perhaps if we look at where the crashes are happening in terms of the piece of road that the occur on, we'll be able to identify problem intersections, or stretches of road, and better plan upgrades and mitigation efforts.

AirCondor

Team Name: 
Team GoshAwks

After much deliberation, and many blocked turns, our team finally nailed down a plan to develop an air conditioner recommendation application late on Saturday night. 

To do this, we collated the air conditioner cooling data and energy rating for air conditioners datasets. 

AirRankings

en pleine air
Team Name: 
ASDFG

Local, national and international (eventually) air quality rankings with daily, monthly and yearly winners.

The system is built on top of the Meteor web framework, using React templating and deployed on the Nectar cloud using a Docker container. 

Near realtime data is pulled from various Environmental Protection Agency APIs in various formats and structures (CSV, XML etc.) and normalised into a common format which is then stored in a MongoDB datasbase.

Polar Politico Fantastico

Team Name: 
Settlers Redux

Using Hansard history data on attendance and voting outcomes the project aims to create a gravity weighted graph to show how far apart and/or closely together individual MPs and parties vote on policy.

Check out our Progress Blog!:

http://govhack2015.scriptforge.org/category/polar-app/

Take Me There Gov!

Team Name: 
Team Interrupt

Take me there Gov is a location based Web application. It pulls relevant news articles for you based on your location. 

We chose to build to show people where exactly there news is coming from. 

We have used the ABC online photo archive in this web app.

The web application is created with design in mind and satifisy both the ABC dataset used and design awards.

Memory Lane

Team Name: 
Dueling Beards

We chose the ABC broadcast data as we felt it was a data set that most people could relate to. Who hasn't spend an afternoon watching ABC?

Using our app users can pick a year and a state and get the most played shows between 3pm and 7pm. We use third party apis like thetvdb and youtube to give some interesting data about the show. 
 

Drains and Dragons

Drains & Dragons
Team Name: 
Drains and Dragons

Drains-and-dungeons

A mobile augmented reality game using local government datasets to create a simple 'Dungeons and Dragons' hack and slash fest.  This is about raising awareness of bins as public assets.

Game Play

Connect to the game on your mobile device. As you walk around your area you will notice 'points of interest' appear on the map. Clicking on one of these will reveal the monster lurking at that point. What you do then is up to you (Fight, Flee or Find out more)

Tech

Talk Gov To Me

Team Name: 
We are not statistics

Talk Gov To Me is 41st Degree Software's submission for GovHack 2015.

Users access Government data through a mobile app, using voice recognition to query a mash up of Open Government data-sets made available for the GovHack 2015 competition.

Talk Gov To Me then responds to the query, using text to speech, to speak directly to the user.

BRing

BRing - The Broadcasting Ring
Team Name: 
Full Circle

The Broadcasting Ring - What is it?

The Broadcasting Ring - BRing for short, is a visualisation of a chronological subset of the television broadcast data archive. It attempts to clearly demonstrate to the viewer which shows have been broadcast over the years in a creative and visually distinct manner. The application works by parsing a csv file and populating a series of rings with nodes. Each ring represents a year in broadcasting, with each node making up the ring representing a TV Programme that aired that year.

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