DYNAMIC SEATING ARRANGEMENT

Paper ID: EIJTEM_2026_13_2_92-99

Author's Name: Punna Chandra Shekar, Gellu Yashwanth, Mokurala Mounika, Nimmala Ruthika, Shoeb Irfan

Volume: 13

Issue: 2

Year: 2026

Page No: 92-99

Abstract:

The efficient management of examination seating arrangements is a critical task in educational institutions, particularly with the increasing number of students and constraints associated with fairness and resource utilization. Traditional manual methods for seat allocation are time-consuming, error-prone, and inefficient, often leading to improper distribution, duplication, and increased chances of malpractice. This paper proposes a Dynamic Seating Arrangement System that automates the process of exam seat allocation using a matrix-based algorithm and constraint-driven optimization techniques. The system integrates Python for backend processing, MySQL for database management, and Flask for web-based interaction, enabling real-time and scalable operations. It considers key parameters such as seating capacity, subject separation, and adjacency constraints to ensure fair and optimal distribution of students across examination halls. Experimental results demonstrate that the proposed system significantly outperforms conventional methods by achieving reduced execution time, near-zero error rates, improved seat utilization, and enhanced fairness index. The automated framework minimizes administrative workload while ensuring accuracy and transparency in seating arrangements. The proposed system provides a robust, scalable, and efficient solution for modern examination management and can be further extended with advanced optimization and artificial intelligence techniques for enhanced performance.

Keywords: Dynamic Seating Arrangement, Examination Management System, Seat Allocation Algorithm, Matrix-Based Allocation, Automation, Fairness Optimization, Resource Utilization, Python, MySQL, Flask, Constraint-Based Optimization

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