Constraint Satisfied Randomized Seating Algorithm for Efficient and Fair Examination Seat Allocation

Preserving academic integrity and reducing opportunities for malpractice during examinations requires neutral and effective seating arrangements. Conventional methods to allocate the seating arrangement techniques frequently have errors, ineffectiveness, and easily predictable seating numbers and designs that make cheating easier. This research paper study and implementation procedure of the Constraint-Satisfied Random Seating Algorithm is a unique method that incorporates randomization to the perfect examination seating arrangements and spreading while respecting organizational limitations. By preventing students from the same department from coming together, Constraint-Satisfied Random Seating Algorithm promises in principle dissemination of exam seating arrangements and decreases the probability of academic dishonesty.