from datetime import datetime, date import re import json class MotorInsuranceAIEngine: def __init__(self): # Simulated Large Language Model prompts / intent structures self.supported_languages = ["English", "Hindi", "Spanish", "Telugu"] def ai_extract_policy_data(self, raw_unstructured_text: str) -> dict: """ Simulates an Agentic AI OCR / Document Extraction layer (e.g., PDF -> CRM processing) to extract key entities out of messy customer inputs or document text blocks. """ print("[AI Mode] Processing unstructured layout text via NLP extraction...") # Regex entities mimicking ML-based token classification policy_pattern = re.search(...
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