Project 67

Project Info

Team Members


1 member with an unpublished profile.

Project Description


Using machine learning skills to mine useful patterns related to litter management from open data source, which can help government and relevant department to take measures.


Data Story


Nowadays, the amount of litters increases very fast and severely damage the environment. But deal with litters cost a huge amount of money. Therefore, to come up with a solution to this problem is becoming much more important.


Evidence of Work

Video

Team DataSets

litter-audit

Description of Use We use this dataset to find valuable patterns among all the attributes values provided based on some machine learning skills.

Data Set

Challenges

Bounty: Industry meets Academia

How can we overcome the cultural differences between business and researchers to encourage innovation and collaboration?

Go to Challenge | 12 teams have entered this challenge.

Sunshine Coast Commercialisation

How to make business boom on the Sunshine Coast?

Go to Challenge | 11 teams have entered this challenge.

Litter Challenge

How might we prevent littering of fast food packaging?

Go to Challenge | 16 teams have entered this challenge.