material-takeoff

Here are 4 public repositories matching this topic...

RishirajAatman / AI-MTO-GENERATOR

AI-powered web application that extracts Material Take-Off (MTO) data from engineering isometric drawings using Google Gemini AI. Built with Next.js, FastAPI, and Python, featuring PDF upload, intelligent data extraction, structured JSON output, and CSV export.

python engineering ai rest-api nextjs material-table tailwindcss gemini-api fastapi pdf-processing gemini-ai material-takeoff

Updated Jul 7, 2026
TypeScript

GazalThakur / ai-material-takeoff-extractor

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AI-powered Material Take-Off (MTO) extraction system for piping isometric drawings using Gemini Vision, FastAPI, and Next.js.

python docker engineering typescript ai computer-vision nextjs full-stack gemini fastapi material-takeoff

Updated Jul 8, 2026
Python

manmit-s / iso-mto

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AI-powered Full-Stack web application that automatically generates structured piping Material Take-Offs (MTO) from unstructured 2D isometric drawing blueprints (PDF/Images) using a Google Gemini Vision pipeline.

python typescript nextjs gemini-api pydantic fastapi vision-llm fullstack-ai-project material-takeoff mto-generator

Updated Jul 7, 2026
TypeScript

krflol / takeoff-field-tools-practice-plans

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Free construction takeoff practice plans: five synthetic plan sets, 42 answer checks, an instructor guide, and an Excel quantity worksheet.

Updated Jul 31, 2026

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