International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 02 | Feb 2025
p-ISSN: 2395-0072
www.irjet.net
Automatic Seating Arrangement and Supervision System for University Examinations Dhanraj Deshpande1, Sameer Pagar2, Wafiyah Sayyad3, Advait Shukla4 , Yogesh Tupe5 1Assistant Professor, Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of
Engineering, Management Studies & Research, Nashik – 422005, Maharashtra, India
2,3,4,5Student, Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of Engineering,
Management Studies & Research, Nashik – 422005, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Managing examinations in large institutions
arrangements and reduce the potential for cheating during exams.
can be a challenging and time-consuming task. Supervisors must be assigned to ensure no conflicts, such as instructors overseeing students from their department. Manual methods are often inefficient and error-prone, requiring substantial administrative effort. To address these issues, we propose an Automated Seating Arrangement and Supervision System for University Examinations. This system utilizes a graph coloring algorithm to automate the allocation of supervisors, ensuring no teacher supervises their branch students, and assigns students to their respective exam slots. By streamlining reporting and automating notifications, the system improves operational efficiency, reduces paperwork, lowers manual effort, enhances accuracy, and simplifies the process while minimizing potential conflicts.
Anirban explored the complexities of exam seat allocation, emphasizing challenges arising from large student populations and diverse constraints related to subjects, rooms, and departments. To address these, three sequential algorithms were proposed to create an optimized seating plan. Inamdar and colleagues presented a model advocating for automation in seating allocation, considering factors like room layout and class size to maintain order during examinations. Similarly, Dhotre et al. developed an automated seating arrangement system to assign exam halls efficiently while managing supervisory duties, reducing reliance on manual effort and expediting exam preparation processes. Proposed Work In this paper, we propose The Automatic Seating Arrangement and Supervision System for University Exams integrating both these approaches by automatizing the process of allotting center-seating arrangement and invigilator allocation with a Graph coloring technique. It caters to problems such as teacherstudent relations and ineffective manual processes, ensuring that both students are allocated seats according to their exams, while supervisors follow suit.
Key Words: Seating Arrangement, Automated System, Graph Coloring.
1.INTRODUCTION Efficient management of exam halls and seating arrangements is crucial for a smooth examination process in educational institutions. Manual methods for allocating seats and assigning supervisors are often time-consuming and prone to errors. Automating these tasks has become essential to enhance accuracy and streamline the process. Recent studies have explored various approaches and algorithms to develop systems that simplify and optimize exam management.
2. LITERATURE REVIEW Extensive research has been conducted on optimizing seat allocation in examination halls, reflecting the importance of this process in ensuring fairness and efficiency. Pathari et al. developed an online system for exam hall seating, which allowed students to access their seating details, including locations and answer script information, ahead of time. This system also included real-time updates, reducing the administrative workload and ensuring smooth operations during large-scale examinations.
Pathari et al. developed a web-based system that generates comprehensive exam hall details, including class, exam time, date, and subject, enabling students to easily locate their examination halls. Nandhu Kishore et al. introduced an AI-powered authentication and automated seating system incorporating classifiers and AES (Advanced Encryption System), significantly improving the efficiency of exam management. Similarly, Adetona et al. addressed seating arrangement challenges using transparent programming techniques with PHP and JavaScript, integrating a graph-based seating generation module. Their approach aimed to optimize seating
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Nandhu Kishore et al. proposed a model combining a classifier algorithm and AES for secure and efficient seat allocation. The AES ensured secure login and user authentication, while the classifier facilitated accurate seat assignment. This method enhanced both operational
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