Skip to main content
Free Tool · Analyzer

Free Student Attendance Prediction Tool

Project a student's end-of-term attendance percentage from current data, analyse three absence scenarios, and identify at-risk patterns before it's too late to intervene.

Runs entirely in your browser · No login · No data uploaded

Student & Subject Details
Current Attendance Data
Scenario Analysis
Enter how many of the remaining sessions you expect to miss.

Fill in the form and click Predict Attendance to see the projected end-of-term result.

How to Predict Student Attendance in 3 Steps

Follow these steps to get results in under a minute

01
Enter Current Attendance Data
Input the sessions completed and attended so far, plus the total sessions planned for the full term and the minimum required attendance percentage.
02
Set Your Absence Scenario
Enter the number of additional sessions you expect to miss. The tool will model this alongside two other scenarios — best case and current trend.
03
Review Projections & Export Report
See the projected end-of-term attendance percentage with a three-scenario forecast, risk status, and downloadable PDF report.

How Attendance Prediction Tool Compares

vs spreadsheets, manual processes, and paid platforms

Feature UniCloud360 Attendance Prediction Tool Manual SpreadsheetGeneric CalculatorPaper Register
End-of-term attendance projection Auto linear forecast ⚠️ Manual formula required Not available Not possible
Three-scenario comparison Best / Trend / Planned Not available Not available Not possible
At-risk early warning Auto amber/red alerts ⚠️ Manual monitoring Not available Not possible
Must-attend sessions count Calculated instantly ⚠️ Manual calculation ⚠️ Manual calculation Not available
Printable PDF forecast report One-click Blob export ⚠️ Manual formatting needed Not supported Not supported
No login required 100% browser-based Usually yes Usually yes Yes

What Educators & Academic Advisors Are Saying

Trusted by lecturers and students across Sri Lankan universities

4.9
★★★★★
4 reviews
NS
Nalini Subramaniam
Academic Advisor
★★★★★

"I use this mid-term to identify students heading for trouble before the exam eligibility cut-off. Seeing three scenarios side-by-side makes the conversation with students so much more constructive."

TB
Thomas Bauer
Programme Director
★★★★★

"The 'must-attend' count is exactly what students need to hear — not a warning, but a specific target. This tool changes the framing from punitive to actionable."

YN
Yuki Nakamura
Student Services Officer
★★★★☆

"We now run this for every student flagged by our weekly absence report. The PDF export attaches directly to our welfare referral forms. Really saves time."

AM
Aisha Mensah
Head of Registry
★★★★★

"The linear trend projection is accurate enough for our purposes and the tool is simple enough for students to use themselves without guidance. That's rare."