001//Deployed

Neural Blueprint Engine

A visualization system that renders neural network architectures as physical blueprints — translating model topology into architectural drawings.

Origin

This project began as a question: what if we could see the structure of intelligence?

Neural Blueprint Engine takes any PyTorch model and renders its topology as an architectural drawing — nodes as load-bearing columns, connections as tension cables.

Stack

PyTorch for model introspection
Three.js for spatial rendering
Custom DAG layout algorithm

Insight

Architecture and neural networks share a common language: load, path, and structure. Seeing them side by side changes how you reason about both.