CampusAlly

Intervene Before
It's Too Late.

The most expensive student is the one who leaves.
CampusAlly AI analyzes attendance patterns and internal marks to flag "At-Risk" students early in the semester, allowing faculty to save the semester and the tuition revenue.

Dropout management is usually reactive. A student stops showing up, fails the exam, and then withdraws. By then, it's too late. CampusAlly shifts your strategy to Proactive Retention. Our Early Warning System (EWS) connects the dots between subtle behavioral changes—like missed assignments or gym inactivity—to predict outcomes weeks before they happen.

Powered By Machine Learning

🧠 Predictive Modeling 📊 Behavioral Analytics 🛡️ EWS (Early Warning) 📨 Auto-Intervention

The Prediction Engine

Multi-Variable Analysis

Multi-Factor Risk Scoring

We look beyond just grades.

  • Academic Indicators: Continuous Internal Assessment (CIA) scores, quiz failures, and assignment submission latency.
  • Attendance Trends: It's not just about "absent." We track "Late Arrivals" and specific patterns, such as missing Monday morning classes consistently.
  • Digital Footprint: Low engagement with the LMS (Learning Management System) or library entry logs often precedes a dropout.
Alerts

The "At-Risk" Dashboard

A prioritized list for Faculty Advisors.

  • Color-Coded Status: Students are categorized as Low Risk (Green), Moderate Risk (Yellow), or High Risk (Red) daily.
  • Trend Arrows: See if a student's engagement is improving or deteriorating week-over-week.
  • Root Cause Analysis: The AI suggests *why* the student is flagged (e.g., "Risk Factor: 3 missed assignments in 7 days").

Intervention & Success

Workflows

Automated Workflows

Don't just flag it—fix it.

  • Triggered Emails: Automatically send a supportive email to the student with links to tutoring resources when they hit "Moderate Risk."
  • Parent/Guardian Alerts: (Configurable) Notify parents via SMS if attendance drops below 75%, complying with university regulations.
  • Counselor Assignment: Automatically create a ticket for the Student Counseling Center to schedule a 1:1 session.
Case Management

Case Management

Track the journey back to safety.

  • Intervention Logging: Advisors can log notes from meetings (e.g., "Student cited financial issues, referred to Aid office").
  • Success Tracking: Monitor the student's progress *after* the intervention to measure the efficacy of your support programs.
  • Privacy First: Sensitive mental health notes are encrypted and accessible only to authorized counselors, not general faculty.

Institutional Impact

Retention Revenue

Revenue & Ranking

Retention is a business metric.

  • Tuition Protection: Every retained student saves the institution thousands of dollars in lost tuition fees over the 4-year lifecycle.
  • Accreditation Data: Generate "Student Success" reports required for NAAC, NBA, and ABET accreditation instantly.

Student Risk Profile

What the Dean sees.

Michael Ross (B.Tech - CS) HIGH RISK
⚠️ Attendance: 62% (Dropped 10% this week)
⚠️ LMS: No login for 5 days

Why "Early" Matters

Strategy Legacy ERPs CampusAlly AI
Trigger Failed Final Exam Missed Assignments (Week 4)
Action Academic Probation Counseling / Tutoring
Outcome Dropout / Repeat Year Course Correction
Financial Lost Revenue Retained Revenue

Frequently Asked Questions

Does the AI bias against certain students?

We train our models on behavioral data (attendance, marks), not demographic data. We explicitly exclude race, gender, and religion from the risk algorithm to ensure fairness.

How accurate is the prediction?

Based on historical data from our partner universities, the model predicts dropout intent with 85-90% accuracy when initialized with at least 3 years of historical institution data.

Can faculty override the risk score?

Yes. The AI is a tool, not a judge. A faculty mentor can manually mark a student as "Safe" if they know context the AI doesn't (e.g., "Student was sick with permission").

Improve your graduation rates.

Identify the problem before it becomes a statistic.

LMS Integration • Admissions • Placement Cell