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Aniket

Upload a real government construction blueprint, ask any element a question, watch it rebuild as a measurable 3D model, and run a pipeline of five AI agents that reads it, measures it, prices it in ₹ from live Indian rat

Core trick

Five-agent pipeline prices vision-extracted blueprint elements from live rate tables and writes a Bill of Quantities into Google Sheets.

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Description

Upload a real government construction blueprint, ask any element a question, watch it rebuild as a measurable 3D model, and run a pipeline of five AI agents that reads it, measures it, prices it in ₹ from live Indian rates, and files a costed Bill of Quantities straight into your Google Sheet — turning a 15-day manual takeoff into a 3-minute autonomous one. Nirman.AI is a drawing-first workspace — the blueprint itself is the home screen, and every answer is anchored to a real element on the sheet, never a detached chatbot. 1. Upload a tender PDF. It's processed once — sheets rendered, and a structured element index (footings, walls, columns, rebar schedules, notes) extracted and persisted. 2. Ask any element. Click a footing or a schedule; it highlights on the canvas and an "Ask AI" chat opens — "what's the concrete volume?", "how much steel?", "what grade?" — grounded in that element plus the whole sheet's context. If a dimension isn't on the drawing, it says so instead of inventing one. 3. Truth-3D. The drawing is reconstructed as an interactive, measurable 3D model — every solid's size traced to a figured dimension on a real sheet, colour-coded by concrete grade, with click-any-part → jump to the source sheet. 4. Estimate. A 5-agent pipeline costs every ready element and writes a ₹ Bill of Quantities into a live Google Sheet the team already uses.
Anikets08/Nirman.AI★ 00 forksPythonCreated Jul 11, 2026 · last push Jul 11, 2026

README excerpt

# Nirman.AI (निर्माण.AI)

> **Blueprint Intelligence Workspace for Indian Construction & EPC Teams**
> **Track:** Autonomous Orchestration with Managed Agents

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Nirman.AI is a drawing-first estimation workspace designed to eliminate the manual, slow, and error-prone process of construction quantity takeoff and cost estimation. By combining a persisted per-sheet element index, element-anchored high-resolution crops, Google Gemini's multimodal capabilities, and an autonomous multi-agent pipeline, Nirman.AI turns dense, complex engineering blueprints into a costed, source-grounded **Bill of Quantities (BOQ)** written directly to a Google Sheet.

## 🚀 The Core Problem

For Engineering-Procurement-Construction (EPC) contractors in India, estimating tenders is highly resource-intensive:
* **Time-consuming:** A manual BOQ takeoff from A2/A3 drawings takes upwards of 15 days per tender.
* **Costly errors:** Manual takeoff accuracy hovers around 85%. The missing 15% results in massive cost overruns once a bid is won.
* **Throughput limit:** Firms can only bid on ~40 tenders a year because of this takeoff bottleneck.
* **Knowledge lock-in:** The ability to accurately interpret complex engineering schedules lives in the minds of a few senior engineers.

Nirman.AI automates this entire cycle: **Upload PDF → Navigate Canvas → Select an Element & Ask → Explore the Truth-3D model → Run 5-Agent Pipeline → Get Costed BOQ in Google Sheets.**

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## 🏗️ Architecture & How It Works

Nirman.

Team