BlueprintIQ
Intelligent blueprint analyzer compiling deterministic lumber takeoffs.
Overview
About this project
BlueprintIQ is our agentic computer-vision system for construction estimating — it reads architectural PDF blueprints and compiles deterministic lumber takeoffs with high precision.
Challenge & Solution
The Challenge
Performing lumber and framing material takeoffs from architectural PDF blueprints manually is a slow, error-prone task that can lead to either costly project delays or expensive material surpluses. Estimators spend hours tracing and counting studs, headers, and plates across dense drawings.
The Solution
We engineered an automated pipeline utilizing advanced computer vision models and structured AI agents. The system reads architectural blueprint layers, identifies structural walls and framing elements via OpenCV, and applies custom rule-based parsing via Pydantic-AI and Gemini 2.5 Pro to output exact material counts and pricing estimates.
Core Features
Automated PDF blueprint parsing and
Automated PDF blueprint parsing and structural wall extraction.
Computer vision scanning for detecting
Computer vision scanning for detecting door, window, and wall dimensions.
Multi-agent validation pipeline reconciling visual
Multi-agent validation pipeline reconciling visual detections with building code requirements.
Real-time server-sent events (SSE) indicating
Real-time server-sent events (SSE) indicating extraction progress and model confidence.
AI & Architecture
AI Intelligence
Multi-agent system powered by Gemini 2.5 Pro and Pydantic-AI that coordinates image parsing, lumber conversion calculations, and structural validation checks.
System Architecture
Python backend utilizing FastAPI and OpenCV for asynchronous vision processing, delivering real-time logs via SSE streams to a modern React dashboard.
Database & Caching
PostgreSQL handles user files and final takeoffs, while Redis caches temporary extraction results and active queue states.
Messaging
Server-Sent Events (SSE) provide live progress bars, while Twilio SendGrid delivers detailed Excel spreadsheets once the takeoff is finalized.
Tech Stack
Frontend
Backend
Deployment
Backend deployed in Docker containers on Google Cloud Run with GPU-accelerated processing instances.
“The accuracy of BlueprintIQ is unbelievable. What used to take our estimators a full afternoon now happens in under three minutes.”
Jake Harmon