LivCity

Project Info

Team-IO thumbnail

Team Name


Team-IO


Team Members


James , Peter , Arran , Finn , Sam , Joe , Rhiannon

Project Description


LivCity is an application that allows a city to gain community sources information on selected areas. This app functions by an administrator or researcher selecting an area to question, this could be for example regarding air pollution, traffic, safety, waste and more. Using feedback from the community, the appropriate authorities can develop needed infrastructure in areas or appropriate social services, greatly improving the efficiency, usefulness, and bringing innovation to the community.

In certain scenarios for example if traffic lights need to be replaced in an area the administrator may post contracts to replace the traffic lights, companies can bid on these contracts and whoever gives the best proposal will win the contract.

Users will be presented with a notification with a questionnaire to fill out regarding the area they have just visited, once these have been answered the user is then moved to a chat bot for more extensive issues. The app may also question the user on their own personal experience of their mental health during lockdown, this will provide useful information to the scientific community.

The users will be able to view relevant data through the application, this data will be sourced from government data sets and data that is generated from the community.
This app will not only give the government a deep view into our cities, roads, reserves and public spaces but it will also provide views of the people and their collective state of mind. There is also an economic advantage of this app as repairing and creating new infrastructure can be done in a more efficient and innovative way.

Picture Repo: https://drive.google.com/drive/folders/15n2evUHfrGu6ymZRc1w0Pl2ojerM_Wah?usp=sharing

Download the app from Github Releases


Data Story


1-Performance of Public Transport Services
-Shows the range of boards across the years by number of people, across the regions in the country.
-shows the fares and compares them across the years and the regions in the country by the total collected fares.
2-Calendar Year Visitor Estimates for Parks & Wildlife NT
-Showed the locations and names of the parks
-showed the descriptions and photographs
3-NZ Crimes Statistics Tables
-shows areas affected by different types of crimes
-shows percentage change of crime rates over a specified time period.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Performance of Public Transport Services

Description of Use We have used this dataset as research for our application.

Data Set

Calendar Year Visitor Estimates for Parks & Wildlife NT

Description of Use This is to create points of interest the administrator of the application will want to use to plot points of interest and to base questions for that area around.

Data Set

NZ Crimes Statistics Tables

Description of Use This is to create points of interest the administrator of the application will want to use to plot points of interest and to base questions for that area around.

Data Set

Challenge Entries

Identifying government investment for enhancing community safety

How can governments apply resources so as to proactively address social issues before they escalate and require reactive interventions (e.g. social work, law enforcement etc.)?

Go to Challenge | 16 teams have entered this challenge.

Getting Around

How can we move towards being a more accessible country?

Go to Challenge | 2 teams have entered this challenge.

Science Tasker

How might we harness the power of the everyday citizen to conduct ongoing scientific research which has been hindered by constraints on travel due to COVID-19

Go to Challenge | 11 teams have entered this challenge.

Caring for the Aged in COVID Times

How can we reimagine the aged care experience

Go to Challenge | 18 teams have entered this challenge.

Day Tripper

How can we encourage visits to your favourite part of our paradise?

Go to Challenge | 3 teams have entered this challenge.