Hi Casey, It is still possible to make this project alive and take it forward. The major challenges I am facing at the moment is deploying machine learning models. I see the project still has potential to be made better There is opportunity to change the way we deploy and serve models. There is ofcource opportunity to make it more cloud native especially having a S3 plugin for storage. There is opportunity to make it more scalable by making it docker, kubernatees friendly. The user interface could be made more stable and secure by integrating it with AD. The overall architecture could be better with lesser service dependencies, learning system could be separated from detection system etc. May be can review the overall technologies involved and rearchitect few things etc.
I see it as chicken and eggs probelm, clients think since there is no activity we cannot depend on the project, while the project team thinks since there are no clients we cannot continue on the project. If a community conference call is organised, we could further discuss and come up with a better roadmap for the project. Let me know your thoughts. Best Regards Prashant On Wed, Apr 8, 2020 at 11:05 PM Casey Stella <ceste...@gmail.com> wrote: > Hi all, > > When composing the board report today, I realized that we have effectively > had no development in the last quarter on this project. Please be aware > that I say this without a shred of blame or judgement (especially so > considering I have not contributed in a long time). That being said, I > would like to pose the question to the community: > > Do we feel that this project is viable? If so, how are we going to spur > new contributions? If not, then should we begin the process to fold the > project? > > > Best, > > Casey >
