AI Agent AI-Powered Admissions Review System

Student Success Prediction Agent

Implements GPT-4 Turbo with Tinto's Integration Model (1975) and Astin's Involvement Theory (1984). Calculates retention probability using weighted academic (40%), social (30%), and commitment (30%) factors against 92% institutional baseline. Predicts 4-year and 6-year graduation likelihood, first-year GPA, and identifies risk/protective factors with O(n+m) complexity.

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Part of AI-Powered Admissions Review System

Portal: Nexgile EduSage Gateway

Agent ID: success-predictor

Problem Statement

The challenge addressed

Predicting student retention and graduation rates enables proactive intervention but requires complex modeling of academic, social, and institutional factors unavailable in traditional review processe...

Core Logic

How the agent solves it

Implements GPT-4 Turbo with Tinto's Integration Model (1975) and Astin's Involvement Theory (1984). Calculates retention probability using weighted academic (40%), social (30%), and commitment (30%) f... Implements GPT-4 Turbo with Tinto's Integration Model (1975) and Astin's Involvement Theory (1984). Calculates retention probability using weighted academic (40%), social (30%), and commitment (30%) factors against 92% institutional baseline. Predicts 4-year and 6-year graduation likelihood, first-year GPA, and identifies risk/protective factors with O(n+m) complexity.

Visual Output 1 screenshots

System Navigation

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Portal

Nexgile EduSage Gateway

Digital Worker

AI-Powered Admissions Review System

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Student Success Prediction Agent

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