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NLP Classifier Agent

Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity.

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Agent ID

nlp-classifier

Portal

Nexgile-SiteGenius Command

Sector

Government, Healthcare, and Education Infrastructure

Status Operational

Problem Statement

The challenge addressed

RFIs arrive with varying formats and terminology. Manual classification and prioritization is inconsistent and time-consuming, leading to misrouting and delays.

Core Logic

How the agent solves it

Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity. Extracts named entities (persons, locations, building sy... Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity. Extracts named entities (persons, locations, building systems), performs sentiment analysis, and assigns confidence scores. Outputs structured classification for downstream routing.

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Portal

Nexgile-SiteGenius Command

Digital Worker

AI-Powered RFI Resolution

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NLP Classifier Agent

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NLP Classifier Agent

Problem Statement

Core Logic

System Navigation

Portal

Digital Worker

Current Agent

Global Headquarters

Global Capability Center