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@article{198479,
        author = {Kshitij Ganesh Gaikwad and Rahul Appa Gaikwad and Piyush Rajkumar Hiware and Adityavardhan Ganesh Kakade},
        title = {Task Management System With AI Powered Suggestion},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9695-9697},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198479},
        abstract = {The paper introduces 'Scrummer', a web-based application developed to manage and monitor tasks within software development projects. The study is grounded in the belief that there is a significant market demand for such a tool to help IT companies enhance team efficiency, accelerate time to market, and meet customer demands, all of which are central to the Agile Manifesto. The application is designed to be a simpler, effective tool for applying Agile and Scrum methodologies.},
        keywords = {Scrummer, software tool, web application, Agile, task management, software development projects, team efficiency, customer demands, time to market.},
        month = {April},
        }