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
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
How Attendance Prediction Tool Compares
vs spreadsheets, manual processes, and paid platforms
| Feature | UniCloud360Attendance Prediction Tool | Manual Spreadsheet | Generic Calculator | Paper 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
"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."
"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."
"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."
"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."