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@article{196360,
        author = {Shruti N Yeotikar and Vedant S Pardhi and Vibhanshu V. Sonparate and Priyanka G. Surey and Sonali P. Mahindre},
        title = {GPT AI Assistant for Smart Task Automation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3205-3215},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196360},
        abstract = {The complexity of academic and administrative operations has increased due to the rapid growth of digital systems in higher education over the past few decades. In order to manage their schedules, coursework, communication, and campus services, students, faculty, and institutional staff use a variety of applications. This paper's contribution is the development and implementation of a GPT-based AI assistant for college task automation. In order to solve this issue, the system described makes use of developments in natural language processing algorithms to provide a conversational way to access academic and administrative services, automating tedious tasks and speeding up information access. This assistant differs from the conventional rule-based system in that it integrates with campus resources like Learning Management Systems (LMS) and Enterprise Resource Planning (ERP) systems, listens to user intent and response, and enables personalized experiences grounded in roles. Additionally, the prototype's experimental results appear to be more cost-effective, user-interested, and less taxing on the administrator. The work also addresses ethical concerns, system limitations, and potential avenues for future smart campus automation research.},
        keywords = {Artificial Intelligence, Natural Language Processing, Smart Campus, Task Automation, GPT, Conversational System},
        month = {April},
        }