# Enginuity

- **Event:** [Zero to Agent: Vercel x Deepmind Hackathon London](https://cerebralvalley.ai/e/zero-to-agent-london)
- **When:** Sat, Mar 21 at 9:00 AM – 10:00 PM (GMT)
- **Where:** London, UK
- **Placement:** 2nd Place
- **Team:** [Rohith Raghunathan Nair](https://cerebralvalley.ai/u/rohith)
- **GitHub:** https://github.com/iamrohithrnair/zerotoagent.git
- **Demo video:** https://youtu.be/LZSYRriz5SA
- **Gallery:** https://cerebralvalley.ai/e/zero-to-agent-london/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/zero-to-agent-london/hackathon/gallery/20

Enginuity is an AI-powered parametric CAD application that lets users create
  3D solid models through natural language and engineering drawings — instead
  of manually operating traditional CAD software.

  The problem: Traditional CAD tools (SolidWorks, Fusion 360, etc.) have steep
  learning curves and require manual step-by-step modeling. Translating an
  engineering drawing or a verbal idea into a 3D model is slow and
  skill-intensive.

  What Enginuity does:
  - Chat-to-CAD: Describe a part in plain English ("create a flanged bracket
  with bolt holes") and an AI agent executes the full build123d modeling
  pipeline — sketch → extrude → fillet → booleans — producing a live 3D solid
  in the browser.
  - Sketch/Drawing-to-CAD: Upload or AI-generate an engineering drawing, and
  Gemini vision extracts the 3D feature tree (extrusions, holes, fillets,
  chamfers) with real dimensions, then the agent builds the model
  automatically.
  - Live feedback: Real-time 3D rendering in Three.js as each tool call
  completes, with a full agent trace panel showing the modeling pipeline as it
  executes.

  Stack: Next.js frontend, FastAPI + build123d Python backend, Gemini for
  vision/reasoning, Vercel AI SDK v6 for agentic tool calling, Three.js for 3D
  rendering.

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Markdown version of https://cerebralvalley.ai/e/zero-to-agent-london/hackathon/gallery/20. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt