Upload a construction photo via web form → get a detailed cost estimate with work breakdown, resource costs, and profes…
Upload a construction photo via web form → get a detailed cost estimate with work breakdown, resource costs, and professional HTML report. Powered by GPT-4 Vision and the open-source DDC CWICR database (55,000+ work items). Who's it for Site managers** who need quick estimates from mobile photos Renovation contractors** evaluating project scope from initial site visit Real estate inspectors** estimating repair costs Construction consultants** providing rapid ballpark figures DIY enthusiasts** planning home improvement budgets What it does Collects photo + region/language via n8n Form Analyzes photo with GPT-4 Vision (room type, elements, dimensions) Decomposes visible elements into construction work items Searches DDC CWICR vector database for matching rates Generates professional HTML report with cost breakdown Supports 9 regions: 🇩🇪 Berlin · 🇬🇧 Toronto · 🇷🇺 St. Petersburg · 🇪🇸 Barcelona · 🇫🇷 Paris · 🇧🇷 São Paulo · 🇨🇳 Shanghai · 🇦🇪 Dubai · 🇮🇳 Mumbai How it works ┌──────────────┐ ┌───────────────┐ ┌───────────────┐ ┌──────────────┐ │ Web Form │ → │ STAGE 1 │ → │ STAGE 4 │ → │ Loop Works │ │ Photo+Lang │ │ GPT-4 Vision │ │ Decompose │ │ per item │ └──────────────┘ └───────────────┘ └───────────────┘ └──────────────┘ ↓ ↓ ↓ ┌─────────────────────────────────────────────────────┐ │ Identify room, elements, fixtures, dimensions │ │ → Break down into 15-40 construction work items │ └─────────────────────────────────────────────────────┘ ↓ ┌──────────────┐ ┌───────────────┐ ┌───────────────┐ ┌──────────────┐ │ HTML Report │ ← │ STAGE 7.5 │ ← │ STAGE 5 │ ← │ Qdrant │ │ Response │ │ Aggregate │ │ Parse+Score │ │ Vector DB │ └──────────────┘ └───────────────┘ └───────────────┘ └──────────────┘ Pipeline stages: | Stage | Node | Description | |-------|------|-------------| | 1 | GPT-4 Vision | Analyzes photo: room type, elements, materials, dimensions | | 4 | GPT-4 Decompose | Breaks elements into work items with quantities | | 5 | Vector Search + Score | Finds matching rates in DDC CWICR, quality scoring | | 7.5 | Aggregate & Validate | Sums costs, groups by phase, validates results | | 9 | HTML Report | Generates professional estimate document | Prerequisites | Component | Requirement | |-----------|-------------| | n8n | v1.30+ with Form Trigger support | | OpenAI API | GPT-4 Vision + Embeddings access | | Qdrant | Vector DB with DDC CWICR collections | | DDC CWICR Data | github.com/datadrivenconstruction/DDC-CWICR | Setup 1. n8n Credentials (Settings → Credentials) OpenAI API** — required (GPT-4 Vision + text-embedding-3-large) Qdrant API** — your Qdrant instance connection 2. Qdrant Collections Load DDC CWICR embeddings for your target regions: DE_BERLIN_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR ENG_TORONTO_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR RU_STPETERSBURG_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR ES_BARCELONA_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR FR_PARIS_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR PT_SAOPAULO_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR ZH_SHANGHAI_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR AR_DUBAI_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR HI_MUMBAI_workitems_costs_resources_EMBEDDINGS_3072_DDC_CWICR 3. Activate Workflow Import JSON into n8n Link OpenAI + Qdrant credentials to respective nodes Activate workflow Access form at: https://your-n8n/form/photo-estimate-pro-v3 Features | Feature | Description | |---------|-------------| | 📸 Photo Analysis | GPT-4 Vision identifies room type, elements, fixtures | | 📏 Dimension Estimation | Uses reference objects (doors, tiles) for sizing | | 🔧 Work Decomposition | Breaks down to 15-40 specific work items | | 🎯 Quality Scoring | Rates match quality (high/medium/low/not_found) | | 📊 Phase Grouping | PREPARATION → MAIN → FINISHING → MEP | | 💰 Cost Breakdown | Labor, materials, machines per item | | ✅ Validation | Warns if <50% rates found or missing demolition | | 🌍 9 Languages | Full localization + regional pricing | Form Fields | Field | Type | Options | |-------|------|---------| | 📷 Upload Photo | File | .jpg, .png, .webp | | 🌍 Region & Language | Dropdown | 9 regions with currencies | | 🏗️ Work Type | Dropdown | New / Renovation / Repair / Auto | | 📝 Description | Textarea | Optional context | Example Output Input: Bathroom photo (renovation) Region: 🇩🇪 German - Berlin (EUR €) Generated Work Items: PREPARATION (3 items) ├── Demolition of wall tiles — 12 m² — €180 ├── Demolition of floor tiles — 4.5 m² — €95 └── Disposal of construction waste — 0.8 m³ — €120 MAIN (8 items) ├── Floor waterproofing — 4.5 m² — €225 ├── Wall waterproofing wet zone — 8 m² — €280 ├── Floor screed — 4.5 m² — €135 ├── Wall tiling — 22 m² — €880 ├── Floor tiling — 4.5 m² — €225 ├── Toilet installation — 1 pcs — €320 ├── Sink installation — 1 pcs — €185 └── Shower cabin installation — 1 pcs — €450 FINISHING (3 items) ├── Ceiling painting — 4.5 m² — €68 ├── Grouting — 26.5 m² — €133 └── Silicone sealing — 8 m — €48 MEP (4 items) ├── Socket installation — 2 pcs — €90 ├── Light point installation — 2 pcs — €120 ├── Mixer/faucet installation — 2 pcs — €160 └── Ventilation installation — 1 pcs — €85 ───────────────────────────────────── TOTAL: €3,799.00 Labor: €1,520 · Materials: €1,900 · Machines: €379 Quality: 78% high match · 18 work items Quality Scoring System | Score | Level | Meaning | |-------|-------|---------| | 60-100 | 🟢 High | Exact match with resources | | 40-59 | 🟡 Medium | Good match, minor differences | | 20-39 | 🟠 Low | Partial match, review needed | | 0-19 | 🔴 Not Found | No suitable rate found | Scoring factors: Has price in database (+30) Has resources breakdown (+25) Unit matches expected (+20) Material keywords match (+15) Work type keywords match (+10) Vector similarity >0.5 (+10) Notes & Tips Best photo angles:** Capture full room, include reference objects (doors, sockets) Renovation mode:** AI automatically adds demolition works Validation warnings:** Check if <50% rates found — may need manual additions Rate accuracy:** Depends on DDC CWICR coverage for your region Extend:** Chain with PDF generation, email delivery, or CRM integration Categories AI · Data Extraction · Document Ops · Files & Storage Tags photo-analysis, gpt-4-vision, construction, cost-estimation, qdrant, vector-search, form-trigger, html-report, multilingual Author DataDrivenConstruction.io https://DataDrivenConstruction.io info@datadrivenconstruction.io Consulting & Training We help construction, engineering, and technology firms implement: AI-powered visual estimation systems CAD/BIM data processing pipelines Vector database integration for construction data Multilingual cost database solutions Contact us to test with your data or adapt to your project requirements. Resources DDC CWICR Database:** GitHub Qdrant Documentation:** qdrant.tech/documentation n8n Form Trigger:** docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger ⭐ Star us on GitHub! github.com/datadrivenconstruction/DDC-CWICR. An n8n automation workflow template by Artem Boiko.
Artem Boiko
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