Competition entry for the ML/A.I Hack-a-thon 2023 ... made with love and care in Melbourne ... for everyone !
For developer technical documentation click here ☺
Welcome judges, thanks for taking the time to review our competition entry !
Competition submission: YouTube 5 minute presentation here
Our ML/A.I hack-a-thon competition entry is contained entirely within the following Git repository. Development started on 2023-11-18 at 11 am.
AIDE open-source code repository: https://github.com/shaneantonio/aide-aiml
The pre-existing general purpose, open-source distributed system framework used to create the AIDE voice user interface services has been developed by team member Andy Gelme and others over many years. During the week of 2023-11-18, Andy built-out additional audio streaming capabilities here.
Andy spoke with the ML/A.I hack-a-thon organizers prior to the event to ensure that using an existing open-source framework developed by a team member was acceptable. Just like any other pre-existing open-source software that is freely available to all.
Aiko Services open-source framework: https://github.com/geekscape/aiko_services
- Joe Gulay: Consultant at EY AI and Data
- LinkedIn: https://www.linkedin.com/in/joseph-gulay
- Hung Tran: Ph.D. student specialising in Artificial Intelligence at A2I2, Deakin University
- LinkedIn: www.linkedin.com/in/hungdtrn
- Shane Antonio: SecDevOps Engineer, NAB
- LinkedIn: https://www.linkedin.com/in/shaneantonio
- Randall Holmes: Data Engineer, Country Road Group
- Andy Gelme: AI Engineer at Silverpond
- GitHub: https://github.com/geekscape
- LinkedIn: https://www.linkedin.com/in/geekscape