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@article{173732,
        author = {Anshid Babu T M},
        title = {InscribeX- “A Paperless Exam Writing and Automatic Evaluation Tool using Fuzzy Logic”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1211-1216},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173732},
        abstract = {Traditional examination systems often encounter issues like difficulties with handwriting, biased grading, and the labor-intensive nature of manual assessments. This paper presents an AI-driven examination system that uses a tablet-style monitor and a digital pen for handwritten answers. The system features an NLP-based handwriting recognition model that automatically evaluates responses against a predefined answer key, ensuring grading is efficient, objective, and accurate. To promote fairness, it incorporates a fuzzy logic scoring mechanism, which allows for marks to be awarded based on the level of correctness instead of strict keyword matching. This approach minimizes evaluation bias, enables partial credit for relevant answers, and offers a more flexible and student-friendly assessment. Furthermore, the system enhances security measures, reduces the risk of exam paper leaks, and streamlines the overall evaluation process. By integrating artificial intelligence, NLP, fuzzy logic, and tablet technology, this method significantly boosts the reliability, accuracy, and efficiency of university examinations, providing a modern and intelligent alternative to traditional assessment methods.},
        keywords = {NLP – Natural Language processing, AI- Artificial Intelligence, Fuzzy Logic, Tablet},
        month = {March},
        }