AI Agent AI Yield Optimization Campaign System

Student Intent Detection Agent

Implements LSTM model for behavioral signal analysis. Processes intent signals (portal activity, email engagement, event attendance, FAFSA actions, deposit page views, competitor research). Calculates intent scores (0-100) with signal strength classification. Predicts decision timelines and dropout risk scores. Identifies students requiring immediate attention.

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Part of AI Yield Optimization Campaign System

Portal: Nexgile EduSage Gateway

Agent ID: intent-detector

Problem Statement

The challenge addressed

Identifying students' enrollment decision timeline and dropout risk requires analysis of behavioral signals across multiple touchpoints that traditional systems cannot aggregate.

Core Logic

How the agent solves it

Implements LSTM model for behavioral signal analysis. Processes intent signals (portal activity, email engagement, event attendance, FAFSA actions, deposit page views, competitor research). Calculates... Implements LSTM model for behavioral signal analysis. Processes intent signals (portal activity, email engagement, event attendance, FAFSA actions, deposit page views, competitor research). Calculates intent scores (0-100) with signal strength classification. Predicts decision timelines and dropout risk scores. Identifies students requiring immediate attention.

Visual Output 1 screenshots

System Navigation

Explore related components

Portal

Nexgile EduSage Gateway

Digital Worker

AI Yield Optimization Campaign System

Current Agent

Student Intent Detection Agent

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