MFMaycon FerreiraAutomation · AI · Integrations
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CASE / STUDIOCAD

INTERNAL USE

StudioCad

AI applied to industrial projects

Private visual workstation used daily by the manager and two designers to locate projects, view CAD files and produce AI-assisted visual studies.

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Project review in the sanitized copy.
SANITIZED COPYProject review in the sanitized copy.Screen from the running product.
StateINTERNAL USE
TechnologiesPython · TypeScript · Ollama · OpenRouter · FreeCAD · Blender · Assimp
What is publicPublic code, documentation and declared constraints

SCREENS AND FLOWS

See the system in use

Screens and flows that show how the system works in practice.
DECLARED ARCHITECTURE

HUMAN REVIEW

The visual flow makes the review step explicit before a technical decision.

ProjectReferenceReviewDecision
DECLARED ARCHITECTURE

PUBLIC EXCERPT

The public copy preserves the journey and removes technical files, network paths and commercial information.

Technical sourceSanitizationPortfolioDeclared limit

About the images

The images below show the real product or sanitized reconstructions. When something is not a direct capture, the caption says so.

Public version limits

Operational data, credentials, private integrations and client information are not part of this publication.

01

Context and problem

Heterogeneous technical packages, compressed files and multiple formats required a safe inspection, conversion and presentation flow.

02

What I did

Architecture, secure ingestion, CAD pipeline, model integration, fallbacks, traceability, UX and human approval.

03

How I built it

FreeCAD, Blender and Assimp with fallback; local/remote AI through Ollama, Hermes and OpenRouter; hashes, manifests and suspicious-package blocking.

04

Results and learning

  • Daily use by 3 people.
  • Outputs treated as conceptual support, never as approved manufacturing CAD.
  • Public edition proves secure ingestion and sanitization.

Limits of this version

CAD files, NAS integration and the complete operational pipeline remain private.

Next steps

I would isolate conversions in sandboxed workers, create a model/version registry, quality evaluation, processing queues and project-based permissions.

The public version contains no credentials, personal data or sensitive internal information.

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