Attendance Shortage Predictor
Play the term forward: end-of-term attendance for your real habit, the minimum habit to stay safe & scenario table.
Your realistic habit — the prediction uses this, the scenario table shows the rest.
Projected end-of-term attendance
76.67%
😎 At your 80% habit you finish above 75% — keep it up.
Now
74.3%
Best finish
85.0%
Min. habit
76%
📈 Finish % vs your attendance habit
Every possible habit from 0–100% of the remaining 50 classes — the dot is where your slider sits now.
🎬 Scenario table
attend 100%
50 of 50
85.0%
safe
attend 90%
45 of 50
80.8%
safe
attend 80%
40 of 50
76.7%
safe
attend 75%
38 of 50
74.6%
short
attend 60%
30 of 50
68.3%
short
attend 50%
25 of 50
64.2%
short
⚠️ Predictions assume the remaining class count you entered — timetable changes, extra classes, and condonation policies all shift the real outcome.
🔮Know the ending before it happens
Attendance shortage never arrives as a surprise — it builds silently, one skipped lecture at a time, and shows up at the exam notice board. This predictor plays the whole term forward: given where you stand and how many classes remain, it projects your end-of-term percentage for your honest attendance habit, shows the finish for every habit from 0–100%, and tells you the minimum share of remaining classes you must attend to stay out of the detention list.
📊Everything you'd want to know
- A realistic prediction — set your honest habit ('I attend about 80%') instead of pretending you'll attend everything.
- The full curve: end-of-term % for every possible habit, with your position marked.
- The minimum habit that keeps you safe — as a percentage and as 'attend N of the remaining M'.
- A six-scenario table (100% down to 50%) colour-coded safe/short.
- An early, unmissable warning when the target is already mathematically gone — so you can apply for condonation before it's too late.
- A downloadable PDF prediction report.
🧮The maths
The denominator grows by every remaining class whether you attend or not — that's why waiting makes shortage worse, and why the minimum-habit number only climbs as the term shrinks.
💡If shortage looks certain
- Act the week you see it — every class held while you wait raises the bar.
- Ask about condonation rules early: most universities want applications and medical documents before exams, not after.
- Check per-subject numbers: overall safety can hide one dangerously short subject.
- Extra classes, tutorials, and labs sometimes count — attending them can repair the ratio faster than theory hours alone.
💡 Frequently Asked Questions
How do I know if I will fall short of 75% attendance?+
Take your attended and held classes, add the classes remaining, and project: (attended + remaining × your realistic habit) ÷ (held + remaining). This predictor does it live for every habit from 0–100% and flags exactly when you'd fall short.
What percentage of remaining classes must I attend to avoid shortage?+
The minimum habit is (target × total classes − 100 × attended) ÷ remaining. The predictor shows it both as a percentage and as a concrete count — 'attend 38 of the remaining 50' — which is much easier to act on.
Can attendance shortage be predicted accurately?+
The arithmetic is exact for the class count you enter. Real timetables shift — extra classes, holidays, cancelled lectures — so recheck the prediction weekly as the remaining-classes number changes.
What happens if my attendance shortage is confirmed?+
Consequences range from losing internal marks to being debarred from end-semester exams, depending on the university ordinance. If the predictor shows the target is unreachable, gather medical or duty documentation and apply for condonation immediately — most institutions cap it at 5–10%.
Does the predictor account for classes I might miss unexpectedly?+
Yes — that's exactly what the habit slider models. Set it to 80–90% rather than 100% to leave room for illness and emergencies, and treat the minimum-habit number as a floor, not a plan.