AI STUDENT ANALYTICS PLATFORM

Project Overview

We built an AI-powered analytics platform for an educational institution struggling with student retention. The system uses machine learning to analyze performance data, attendance patterns, and behavioral signals — predicting which students are at risk of falling behind before it happens. Built with Node.js, Express, and Chart.js, the platform delivers real-time dashboards for both educators and students, turning raw data into actionable intelligence.

Scope of Work

Temnix handled the full lifecycle — from data pipeline architecture to the predictive models to the front-end dashboards. Our AI automation approach replaced manual spreadsheet analysis with intelligent, always-on monitoring.

Key deliverables included:

• Predictive ML Models: Custom machine learning models that analyze historical and real-time student data to forecast performance trends and flag at-risk students with 87% accuracy.

• Automated Alert System: AI-driven notifications that automatically alert educators when a student's metrics cross warning thresholds — eliminating manual monitoring.

• Interactive Analytics Dashboards: Role-based dashboards with real-time charts, personalized learning recommendations, and exportable reports for administrators.