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Web Development · Major Project
Automatic Timetable Generator
Constraint-based scheduling of faculty, rooms and subjects without clashes
3-4 weeks build
Overview
The admin enters subjects with weekly lecture and lab hours, faculty with their subjects and unavailable slots, and rooms with capacity and type. A constraint solver built on Google OR-Tools places every session so no teacher, room or division is double-booked, labs get consecutive slots and hard limits hold. Soft preferences are weighted, and any manual edit is checked for clashes before it is saved.
What makes it stand up
- 01Hard constraints: no faculty, room or division clash in any slot
- 02Lab sessions placed in consecutive periods in a room of the right type
- 03Weighted soft preferences such as no more than three lectures in a row
- 04Clash detection on manual drag-and-drop edits before they save
- 05Printable views per division, per teacher and per room
Module breakdown
- 01
Master data
Subjects, hours, faculty, rooms, divisions and time slots.
- 02
Constraints
Hard rules and weighted preferences configured per department.
- 03
Solver
OR-Tools CP-SAT model that assigns sessions to slots and rooms.
- 04
Editor
Grid editor with live clash checking on every change.
- 05
Exports
PDF and Excel timetables for divisions, faculty and rooms.
After this, you will be able to
- Explain the difference between hard and soft constraints in your model
- Defend why you used a constraint solver instead of a greedy fill
- Demo generating a timetable, then breaking and fixing a clash by hand
Technology stack
- Python
- Django
- PostgreSQL
- OR-Tools
- React
- Level
- Major Project
- Domain
- Web Development
- Build time
- 3-4 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support