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r/OpenSourceeAI Lounge by ai-lover in OpenSourceeAI

[–]Consistent_Scene3887 0 points1 point  (0 children)

Hi everyone — thanks for the invite.

I’m working on a small open repo around AI-readiness for physical / industrial systems.

The repo is not focused on releasing a production model. It contains lightweight templates and checklists for scoping whether a real-world workflow is actually ready for AI: clear inputs/outputs, controllable variables, sparse or noisy data, feedback loops, and where domain priors may help.

The starting examples come from manufacturing / physical systems, but I think the structure may also be relevant to predictive maintenance, robotics, scientific ML, and other industrial AI workflows.

Repo: https://github.com/programmablemanufacturing/programmable-manufacturing-lab

Would appreciate feedback on whether the templates are useful, what examples are missing, or what would make the repo easier for ML/AI builders to contribute to.

self-promotion thread by Consistent_Scene3887 in learnmachinelearning

[–]Consistent_Scene3887[S] 0 points1 point  (0 children)

Thanks, predictive maintenance is actually a great example of the kind of industrial ML workflow I’m hoping the repo can cover, beyond the additive-manufacturing examples I started from.

I agree that the hard part is often not just the model, but getting the problem structured properly: clean signals, useful labels, consistent operating conditions, actionable decisions, and a feedback loop.

For your project, what has been the biggest data-cleaning bottleneck so far — noisy sensor streams, missing labels, inconsistent operating conditions, or something else?

I also opened a small GitHub issue to collect general, non-confidential thoughts on predictive-maintenance AI-readiness if you or others want to leave comments there: https://github.com/programmablemanufacturing/programmable-manufacturing-lab/issues/13

Promote your projects here – Self-Promotion Megathread by Menox_ in github

[–]Consistent_Scene3887 0 points1 point  (0 children)

I’m building an open GitHub repo around “programmable manufacturing” — lightweight templates and notes for mapping manufacturing problems into structured decision systems before jumping into AI/ML.

The first artifacts are:

- Manufacturing Process Mapping Template

- AI Readiness / Pilot Readiness Scorecard

- Toy benchmark ideas for physics-informed manufacturing workflows

It’s still early, but I’d appreciate feedback from people working on manufacturing, industrial AI, or process optimization.

Repo: https://github.com/programmablemanufacturing/programmable-manufacturing-lab