What happens if my constraints cannot all be satisfied?

The run is reported as unsatisfiable rather than quietly dropping a rule. You get the specific conflict — for example a teacher required in two sections during the only period both are free — so you can relax the right constraint instead of guessing.

Can it handle labs, double periods and split sections?

Yes. Mark a lesson as requiring consecutive periods, restrict it to specific rooms or labs, and assign multiple teachers to a single session. The solver treats these as block constraints and schedules them intact.

What happens if a teacher becomes unavailable mid-term?

Update the teacher's availability and regenerate. The engine reuses your existing configuration and keeps any periods you pinned, so you get a corrected timetable in seconds instead of rebuilding the grid by hand.

Can I edit the generated timetable manually?

Every generated timetable opens in a drag-and-drop editor. Move any period and live validation flags a clash the moment the change would break a constraint, so manual tweaks stay safe.

How do we share the timetable with staff and students?

Export class-wise, teacher-wise or master timetables to print-ready layouts, or share the project so colleagues always open the current version directly in the workspace.

Is the timetable a standalone tool or part of something bigger?

It is the scheduling module of CampusTrue, an all-in-one campus ERP with 40+ modules covering admissions, fees, attendance, exams, library, transport, HR and more. You can run the timetable on its own, or turn on the rest of the platform as your institution needs it — the student, teacher and class records are already shared.

Yes. Create an account and generate timetables for up to ten sections at no cost, with no card required. Paid plans start when you need the whole institution and multiple coordinators.

AI Timetable Maker — Generate Conflict-Free Class Schedules

Q: How does the AI timetable maker actually work?

CampusTrue models your institution as a constraint satisfaction problem. Every class, teacher, subject and room becomes a variable, and your rules become constraints. The engine then searches for an assignment that satisfies every hard constraint while optimising soft preferences such as workload balance and free-period distribution.

00AI Timetable Maker1200+ institutions · v2

Model your classes, teachers and constraints once. A real constraint solver returns a conflict-free schedule for the whole institution in seconds — and re-solves it the moment something changes.

Generate my timetable See the process

No credit card
Set up in one sitting
Print & export ready

Class 9-ATerm II

5 × 6

MON

TUE

WED

THU

FRI

08:30

09:25

10:40

11:35

13:00

13:55

Solving

0 evaluated0/24 placed

Live solve · a rejected placement being re-seated

Scheduling in production at

Greenfield International

48 sections

Sristi College

62 sections · 2 shifts

Al-Noor Academy

31 sections

Northgate Public School

54 sections

Meridian University

9 departments

St. Xavier's High

40 sections

Institutions

Schools, colleges and universities scheduling with CampusTrue

Less admin time

Average reduction in manual planning hours per term

Solve time

Typical full run for a 40-section institution

Clashes shipped

Hard constraints are satisfied or the run is reported failed

01Capabilities

Not a spreadsheet with extra steps.

Six things a timetable actually has to do. Each one is a constraint the engine reasons about, not a checkbox in a settings page.

01
A real constraint solver
Your institution is modelled as variables and constraints, not as a spreadsheet. The engine searches thousands of arrangements a second and returns the one with the fewest compromises.
- Hard constraints are never violated, only reported as unsatisfiable
- Soft preferences are scored and optimised, not ignored
- Deterministic re-runs — the same input gives the same timetable
best
Score0.94 / 1.00
Search space · best arrangement retained
02
Clashes resolved before publish
Teacher, room and section collisions are detected during generation, not discovered by a teacher standing outside the wrong classroom in week two.
- Teacher double-booking blocked at assignment time
- Room and lab capacity checked per period
- Every rejection explains which constraint it broke
9-A
9-B
Rejected — teacher already committed to 9-B
Teacher lane · R. Iyer · Wednesday
03
Workload that stays balanced
Set a ceiling on periods per day, protect free periods, and mark unavailability. The engine spreads load across the week instead of stacking one teacher's Monday.
- Per-teacher daily and weekly period caps
- Free-period distribution scored across the week
- Workload report shows real capacity before you hire
S. Nair
P. Dutta
R. Iyer
M. Bose
A. Khan
Spreadσ 8.1 → 2.4
Weekly load · capped at 28 periods
04
Drag-and-drop with live validation
Nothing is locked. Move any period by hand and the grid validates the move as you drag — a clash lights up before you drop, not after you publish.
- Validation runs on drag, not on save
- Invalid targets are visibly refused
- Every manual override is kept through regeneration
CHEM
Manual override · validated on drag
05
Regeneration, not rebuilding
A teacher resigns in October. Change one availability rule, re-run the solver, and get a corrected schedule in seconds — your configuration is already there.
- Configuration is reused across every term
- Pinned periods survive a re-solve
- Compare a new run against the published version
Pinned held12 / 12
Re-solve · 4 periods moved, 38 held
06
Output your staff can actually use
Class-wise, teacher-wise and master views export to clean print layouts. The timetable leaves the app the same day it is generated.
- Print-ready A4 and A3 layouts
- Per-teacher personal schedules
- Share a live link instead of emailing a PDF
Master
Teacher
Section
Print layouts · A4 & A3

best

Score0.94 / 1.00

Search space · best arrangement retained

01 / 06

02Try the solver

Change a rule. Watch the week re-seat itself.

This is a real constraint solver running in your browser, not a slideshow. Toggle any rule and the entire timetable is searched again from scratch.

Constraints0 / 4 active

The demo schedules one section against six teachers who are already committed to other classes. The real engine solves every section at once, across the whole institution.

Class 9-A · Term II5 × 6

MON

TUE

WED

THU

FRI