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@article{209530,
        author = {Dr MK Jayanthi Kannan and Anushka Dubey and Vedansh Raj Singh and Vansh Aggarwal and Dhruv Srivastav and Prashansa Raj and Anushika Sharma},
        title = {Digitizer AI: AI-Powered Intelligent Examination and Document Evaluation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {5},
        pages = {2263-2276},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=209530},
        abstract = {Digitizer AI is an AI-powered online examination evaluation system that automates the assessment of student answer scripts. Teachers upload the question paper, answer key, and student answer scripts in digital or scanned form. Using OCR, NLP, and AI, the system extracts answers, compares them semantically with the answer key, and assigns full or partial marks. It also generates feedback and confidence scores for each evaluation. Low-confidence evaluations are flagged for teacher verification, ensuring that the teacher retains the final authority. The system provides student-wise, question-wise, and class-wise analytics along with exportable reports. Built using React, Python Flask/FastAPI, and MySQL/MongoDB, Digitizer AI reduces evaluation time, improves marking consistency, and provides faster and more transparent feedback.},
        keywords = {Automated Answer Evaluation, Optical Character Recognition, Natural Language Processing, Semantic Similarity, Short Answer Grading, Educational Technology, Feedback Generation, Performance Analytics.},
        month = {October},
        }