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Team Name:

The Interesting Company


Team Members:


Evidence of Work

Vic Navi

Project Info

The Interesting Company thumbnail

Team Name


The Interesting Company


Team Members


5 members with unpublished profiles.

Project Description


Objectives

  • We want to better inform citizens about the most suitable way of going out.

  • With the power of chatbot we can provide suggestions in natural language.

  • We can provide suggestions for disable people as well.

Functions

  • A web application provides navigation and suggestions.

  • A chatbot deployed on home intelligence which can provide suggestions.


Data Story


Air, Weather and Tree status

  • The most significant features influencing out calculation of different methods when citizen wants to walk

Toilets location

  • For convenience of citizens with special necessary

Road congestion status

  • For users selected the fastest route, this feature becomes important

Evidence of Work

Video

Homepage

Project Image

Team DataSets

Tree Canopies 2016 (Urban Forest)

Description of Use Count as a feature of calculating scores of different outgoing methods. More trees on the road will make it higher for walking.

Data Set

Air quality

Description of Use To be used as a feature to calculate the scores of different outgoing methods.

Data Set

Wheelchair-accessible public toilets

Description of Use To show the location of such toilets for people have requirements

Data Set

Pedestrian volume

Description of Use Based foot traffic data, provide suggestion for user who going out on foot.

Data Set

On-street Parking Bay Sensors

Description of Use Determine parking availability of user's destination.

Data Set

Sensor readings, with temperature, light, humidity every 5 minutes at 8 locations

Description of Use Use temperature and light information to help route optimization

Data Set

Challenge Entries

More than apps and maps: help government decide with data

How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.

Eligibility: Use at least two data sets (at least one from data.gov.au) to help government make a decision that will improve services for people. Any code produced for your entry must be published on github under an open license. If your entry is not software, you will need to show the working behind your use of data along with any calculations and analysis you did. You must indicate which specific government agency (at any level of government) can take action based on your entry.

Go to Challenge | 58 teams have entered this challenge.

My (Liveable) Victoria

Using the data available on Data Vic and My Victoria, how might well-being be represented and measured in Victoria?

Go to Challenge | 17 teams have entered this challenge.

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.

Bounty: Decision Support

How can we make it easy to use weather and ocean data to our advantage? (e.g. when should you lay concrete, or go out yachtting or picnicking?)

Go to Challenge | 24 teams have entered this challenge.

Navigating construction disruption - A City For People

This challenge aims to ease the ability for people to plan and navigate walking routes through the city.

Eligibility: The winning entry will: * Allow users to plan to move effectively through the city (and to avoid congestion). * Use at least one City of Melbourne Open Dataset

Go to Challenge | 6 teams have entered this challenge.