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@article{193083,
        author = {Pratham Dhongade and Enoch Carlo and Akshay Mohariya},
        title = {AI Enable Campus Event Manegement system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4502-4507},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193083},
        abstract = {The increasing complexity of academic and administrative activities in educational institutions has created a need for intelligent, automated systems that can streamline campus operations. This research paper presents the design and implementation of an AI-Enabled Campus Management System aimed at improving institutional efficiency, decision-making accuracy, and user experience. The system integrates advanced artificial intelligence techniques, including machine learning for predictive analytics, natural language processing for automated communication, and computer vision for smart attendance and security monitoring.
The proposed system centralizes core functions such as student information management, timetable generation, attendance tracking, performance assessment, and resource allocation. By analysing real-time data, the AI components provide actionable insights, detect patterns, and support early identification of academic risks. The system also enhances campus security through intelligent monitoring and automated alerts. Furthermore, the platform offers a user-friendly interface for students, faculty, and administrators, enabling seamless interaction and improved accessibility.},
        keywords = {},
        month = {February},
        }