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@article{204448,
        author = {H. Nithish and A. Rakesh Reddy and Dodda Harika and S. Venu Gopal},
        title = {A CONSTRAINT-DRIVEN ALGORITHM FOR AUTOMATED EXAMINATION SEATING ALLOCATION IN ACADEMIC INSTITUTIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2060-2064},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204448},
        abstract = {Examination management is a critical activity in academic institutions, especially when a large number of students from different departments participate in examinations simultaneously. Preparing seating arrangements manually is often time-consuming and may result in errors such as improper seat allocation or inefficient utilization of examination halls. To address these challenges, this paper presents an automated examination seating allocation system based on constraint-driven algorithms. The proposed system accepts student records in CSV format and processes them to generate optimized seating arrangements according to predefined rules such as hall capacity, subject distribution, and adjacency restrictions. The allocation algorithm systematically distributes students across available examination halls to maintain fairness and reduce opportunities for academic malpractice. The generated seating layout is automatically converted into a structured PDF format that can be easily shared with invigilators and examination authorities. Experimental results indicate that the system significantly reduces administrative effort while producing accurate seating plans within a short time.},
        keywords = {Examination Management, Seating Allocation, Constraint-Based Algorithm, Web Application, CSV Processing, PDF Generation, Academic Automation.},
        month = {June},
        }