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@article{198838,
        author = {R. Mathan and Dr. M.  Rahimal Beevi},
        title = {EVALPRO: SMART EXAMINATION ECOSYSTEM WITH REAL-TIME ANALYTICS AND AI-GENERATED ASSESSMENTS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12285-12289},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198838},
        abstract = {EvalPro is a web-based Examination and Assessment Management System developed using Spring Boot for the backend and HTML, CSS, and JavaScript for the frontend. The system is designed with three core modules — Student, Staff, and Admin — to streamline assessment, performance tracking, and administrative oversight. Traditional assessment methods rely on periodic exams that fail to capture day-to-day student understanding, leading to undetected learning gaps. The proposed system addresses these challenges by integrating AI-assisted question generation, enabling staff to automatically create topic-based assessments immediately after completing a classroom session. Students can attend these assessments in real time, receive instant feedback, and track their academic progress through graphical analysis. The system promotes continuous learning, reduces manual workload for educators, and supports data-driven academic decision-making, making it a comprehensive solution for modern educational institutions.},
        keywords = {Smart Examination, AI Question Generation, Spring Boot, Real-Time Analytics, Student Performance, Web-Based Assessme},
        month = {April},
        }