Swarm AI automation via graphical UI-Node-red

Although swarm optimization is a popular and convenient tool for major ML operations such as multi-objective training, it takes many laborious procedures to build a practical Kubeflow swarm pipelines, not to mention switching between various particle swarm algorithms and data sets. A graphical UI can provide a rapid deployment medium for swarm developer, professional/non professional alike. We are developing a graphical UI integrating kubeflow's containerized capabilities for optimization automation. Users will be able to use drag and drop features of this suite with low code requirements. The results of optimization will be reflected back to Node-red front end from kubeflow operations. Please let us know if this feature is useful for your site. We will be able to do PR soon after your consent.

The proposal mentions Kubeflow operations and a Node-red front end, but names no repository files, tests, or entry point. First establish whether this feature belongs in kubeflow/examples and define the supported swarm algorithms, datasets, UI flow, and acceptance checks; the issue does not specify what done looks like.

Written by the indexing model from the issue text.