EdTech, Constraint Optimization · 2025

Automated Conflict-Free Routine & Campus Scheduling

Replaced weeks of manual scheduling with an algorithmic constraint-solver for eSchool ERP that factors in teacher subject specializations, classroom capacities, laboratory availability, and maximum weekly teacher workloads.

100%Conflict-Free Schedule Generation

< 10 sCampus-Wide Computation Time

3 WeeksManual Staff Work Saved per Term

40+ ClassroomsSimultaneous Multi-Room Allocations

01 / Challenge

Bottlenecks & Operational Constraints

Academic institutions in Bangladesh with multiple shifts (Morning & Day) and shared science/computer laboratories spent 3 to 4 weeks each term manually assembling class routines. Human errors caused room double-bookings, overlapping teacher assignments, and teacher burnout.

02 / Engineering Approach

Architectural Solution & Implementation

We designed a high-speed constraint satisfaction problem (CSP) solver engine using backtracking with forward checking and heuristic pruning. The engine ingests institutional rules (teacher qualifications, room limits, maximum consecutive classes) and outputs a mathematically verified conflict-free timetable in under 10 seconds.

Key Technical Highlights:

Backtracking search with Minimum Remaining Values (MRV) and Degree heuristic pruning.

Shift and room matrix partition modeling morning, day, and laboratory resource locks.

Export engine supporting automated teacher PDF timetables, student portals, and mobile app sync.

Real-time constraint validator preventing impossible administrative override rules.

03 / Impact

Measurable Production Outcomes

Reduced timetable planning time from 3 weeks to under 10 seconds.

Zero double-booking incidents across all participating educational institutions.

Full compatibility with multi-shift school, college, and madrasah operational structures.

Technologies Deployed

TypeScriptNext.jsPostgreSQLRedisConstraint Satisfaction Algorithms

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