README.md

metadata

title: FDAM AI Pipeline
emoji: 🔥
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 6.3.0
app_file: app.py
pinned: false
suggested_hardware: l4x4

FDAM AI Pipeline

Fire Damage Assessment Methodology v4.0.1 - An AI-powered system that generates professional Cleaning Specifications / Scope of Work documents for fire damage restoration.

Features

• AI-Powered Image Analysis: Uses Qwen3-VL vision model to detect fire damage zones, conditions, and materials
• FDAM Compliant: Implements Fire Damage Assessment Methodology v4.0.1 standards
• Automated Calculations: Air filtration, sample density, labor estimates per FDAM formulas
• Professional PDF Output: Generates ready-to-use Scope of Work documents
• Session Persistence: Save and resume assessments via browser localStorage

How to Use

1. Project Info: Enter project details, facility classification, and assessor information
2. Building/Rooms: Add rooms with dimensions (length, width, ceiling height)
3. Images: Upload fire damage photos and associate with rooms
4. Observations: Record qualitative observations (odor, soot, char, etc.)
5. Generate: Click "Generate Assessment" to run AI analysis and produce documents

Technical Details

Model Stack (~38-43GB VRAM)

• Vision: Qwen3-VL-30B-A3B-Thinking-FP8 (~30-35GB) - Reasoning-enhanced analysis with structured JSON output
• Embeddings: Qwen3-VL-Embedding-2B (~4GB)
• Reranker: Qwen3-VL-Reranker-2B (~4GB)

Zone Classifications

• Burn Zone: Direct fire involvement, structural damage
• Near-Field: Adjacent to burn zone, heavy smoke/heat exposure
• Far-Field: Smoke migration only, light deposits

Condition Levels

• Background: No visible contamination
• Light: Faint discoloration, minimal deposits
• Moderate: Visible film/deposits
• Heavy: Thick deposits, surface texture obscured
• Structural Damage: Physical damage requiring repair

Development

# Local development (mock models)
MOCK_MODELS=true python app.py

# Run tests
pytest tests/ -v

Requirements

• Python 3.10+
• 96GB GPU memory for real model inference (4x L4 or equivalent)
• See requirements.txt for full dependencies

License

Proprietary - For authorized use only.