AI Agent AI Yield Optimization Campaign System Active

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).

View Core Logic Back to Worker

Parent Worker AI Yield Optimization Campaign System

Agent ID

intent-detector

Portal Nexgile-EduSage Gateway

Sector Education Technology (EdTech) - Student Lifecycle Management

Status

Operational

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

Here