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@article{191122,
        author = {Thejeshgowda T Y and Swaroop Byadagi and Bharath Kumar G and Prashanth N and Mrs. Sowmyashree S M},
        title = {AI- Generated Online Examination},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5734-5740},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191122},
        abstract = {The AI-Generated Online Examination System is an intelligent web application that aims to automate and improve the conventional examination process by employing artificial intelligence techniques. The AI-Generated Online Examination System shows how the whole process of performing an examination, such as test creation, question generation, conducting an examination, and analyzing results, can be done in a single and closed-loop system. The main aim of the development of the AI-Generated Online Examination System is to demonstrate how AI can be effectively integrated with online examination systems. The application uses a renewed front-end stack that consists of React JS and Tailwind CSS implemented in TypeScript. It also uses Next.js for the backend.
The role played by artificial intelligence within this system is major as it offers functionality for auto-generation of questions and intelligent evaluation and AI-assisted invigilation services for detecting abnormal activities during an exam. The descriptive and subjective responses are analyzed with the help of Natural Language Processing techniques to provide unbiased and equal scores to students. The entire data from the exam session, including user information and results, is saved and processed within a MongoDB database. The system provides functionality to run independently without human invigilation assistance.
In this research work, a detailed description of the proposed AI-based online examination system has been incorporated in the article. The report will act as a reference or guideline for research scholars as well as developers who are trying to implement artificial intelligence in online examination systems.},
        keywords = {Artificial Intelligence, Online Examination System, Automated Question Generation, AI Based Evaluation, Natural Language Processing, Intelligent Proctoring, React JS, Next.js, TypeScript, MongoDB, Web Based Assessment, Educational Technology},
        month = {January},
        }