bim-classification-ai

# BIM Classification AI ## Business Case ### Problem Statement BIM models often lack proper classification: - Elements without classification codes - Inconsistent naming conventions - Manual classification is tedious - Difficult to map to cost databases ### Solution AI-powered classification system that analyzes BIM element properties and suggests appropriate classification codes from multiple standards. ### Business Value - **Automation** - Reduce manual classification effort - **Consistency** - Standardized classification across projects - **Integration** - Enable cost estimation and QTO - **Quality** - Improved data quality in BIM models ## Technical Implementation ```python import pandas as pd from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from enum import Enum import re class ClassificationSystem(Enum): """Classification standards.""" UNIFORMAT = "uniformat" MASTERFORMAT = "masterformat" OMNICLASS = "omniclass" UNICLASS = "uniclass" CWICR = "cwicr" @dataclass class ClassificationCode: """Classification code with metadata.""" code: str title: str system: ClassificationSystem level: int parent_code: Optional[str] = None keywords: List[str] = field(default_factory=list) @dataclass class ClassificationResult: """Result of classification attempt.""" element_id: str element_name: str element_category: str suggested_codes: List[Tuple[ClassificationCo...