Yeah so this is definitely going to require custom ML algorithms. I believe I found a way to further optimize these algorithms and perhaps get better results.

The training sets are likely going to be even more efficient now thanks to this development.

I had a thought and recalled how the original project was supposed to be released a year or two ago. It didn't feel good to remember that but I'm glad it didn't work out. The current project is something that I can be proud of.

The former project was a quagmire. The current project is almost entirely focused on designing new ML algorithms and Training Sets that are starting to look much different than what I've seen before.

It's not close to being ready yet. I'll likely be refining the ML portions until I see it fit for release. The multiple ML algorithm approach is rather bold but there's a good reason why. It is made to work as is or integrated with other solutions.

I'll reveal more when the time comes. I've said it before and I'll say it more clearly this time, this project would destroy the older version. The one thing I am concerned about is the rather demanding load on a system during the operation of this.

As always, feel free to ask questions. I'll answer them if I can.