To bankruptcy or not to bankruptcy, keeping the process real.

Jurisdiction: Australia

Helping predict non-compliance in the personal insolvency system. How can Artificial Intelligence and Machine Learning assist us in the future?

Personal insolvencies include bankruptcies, debt agreements and personal insolvency agreements. One of our key focus areas is to ensure that people who enter into the personal insolvency system comply with their obligations– but we want to do more! Can you help us predict non-compliance? You can use our data alone or in combination with other data to help us predict when non-compliance might occur. Surprise us with the output – e.g. it can be a visualisation or a predictive model. What indicators that we have provided in the data, would be the most useful.

Eligibility: Must use this dataset: https://data.gov.au/dataset/non-compliance-personal-insolvencies

Entry: Challenge entry is avilable to all teams in Australia.

Dataset Highlight

Non-compliance in personal insolvencies
https://data.gov.au/dataset/non-compliance-personal-insolvencies

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All Team Entries

Team Projects will appear below when the relevant checkpoint has passed ( time)

Saturday 12pm Lock In Checkpoint

Team insolvit - Insolvit

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Dmitry's Angels - inSOLVEncy

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InSolve the Insolvable - InSolve the Insolvable

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Team 42 - DON'T PANIC!

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Insolvency Oracle - Insolvency Risk Profiler

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Saturday 5pm Lock In Checkpoint

Team TeamTeam - Bubbles

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Altis Canberra - Insolvency, Facts vs Spin

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First Timers - Having a go

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Presolvent - Presolvent

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Pengunz - Machine Learning

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Sunday 12pm Lock In Checkpoint

0pt1c N3t - New age Business

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Sunday 5pm Lock In Checkpoint

The Four Musketeers - The Four Musketeers

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Hard Pivot - Insolved

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