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@article{193304,
        author = {Vishal Vishwakarma and Md Aftab Alam and Titu Yadav and Vishal Yadav},
        title = {Enhancing Transparency in Examinations: A Web-Based Smart Seating Allocation Framework},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {62-65},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193304},
        abstract = {This study introduces a web-driven examination seating management platform developed using the MERN technology stack. The system is designed to promote fairness, transparency, and systematic organization in academic examinations. Instead of utilizing machine learning techniques, the framework applies structured algorithmic methods to generate seating layouts efficiently. The examination head can upload student datasets, after which the system automatically creates balanced seating arrangements. Algorithms such as sorting, hashing, greedy optimization, round robin distribution, constraint enforcement, and graph coloring are used to maintain uniform student distribution and reduce the risk of unfair grouping. The backend architecture follows a modular and secure design with authentication controls, while the frontend dashboard provides an intuitive and accessible interface. Secure routing mechanisms ensure restricted access to sensitive data. By combining algorithmic strategies with modern web technologies, the system offers a practical, scalable, and secure approach to automated exam seat allocation and maintain discipline in the seating.},
        keywords = {Exam Seat Allocation, fairness - Algorithms, Greedy Approach, Scalable Architecture, MERN Stack},
        month = {March},
        }