Project X-chatbot

Project Info

Team Name


Team UTS MDSI -Chatbot


Team Members


4 members with unpublished profiles.

Project Description


Making open data more open is what keeps Eda awake at night! Eda will help you find open data sets, perform preliminary EDA and mash data sets together!It is a new way to look for and interact with datasets, it should make the task of reviewing many open data sets much easier.


Data Story


We are a bunch of data geeks frustrated by the interface of the open data websites to get correct datasets. So we have come up with our own chatbot to improve user experience by finding the relevant datasets.


Evidence of Work

Video

Homepage

Team DataSets

This team does not currently have any datasets.

Challenge Entries

What do you want from government data challenge?

How should NSW government best provide data to the developer community? Show how our data can be made more usable for developers. What quality or format or standardisation issues does government need to fix or to consider? What developer community needs does the government need to support better?

Go to Challenge | 13 teams have entered this challenge.

Bounty: Integrating AIHW

How can we integrate AIHW and other data sources in interesting ways?

Go to Challenge | 28 teams have entered this challenge.

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.

Chatbots are the Future

How can we effectively engage with open data using Chatbots?

Go to Challenge | 11 teams have entered this challenge.

Spatial data challenge

How can spatial data be leveraged to provide the best community outcome? How can this mapping data be used to deliver value to the people of NSW?

Go to Challenge | 14 teams have entered this challenge.

Bounty: Making open data more open.

How can open data be presented on search.data.gov.au to make it easier and friendlier to use? Does this mean making it more similar to using standard search engines, like Google, or something else entirely?

Go to Challenge | 34 teams have entered this challenge.