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@article{199535,
        author = {Akansha Nanwatkar and Alfiya saher and sheikh avesh firoj and ayan anwar sheikh and Ubaid asad momin and ayan Iqbal sheikh and Prof. Saima Madam},
        title = {Smart Workflow},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12928-12932},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199535},
        abstract = {In the modern era of digital transformation, organizations increasingly rely on efficient workflow management systems to improve productivity, reduce operational delays, and enhance decision-making capabilities. Traditional workflow systems are largely manual, time consuming, and prone to human errors, which negatively impact performance and scalability.
This research paper presents a Smart Workflow System that integrates Artificial Intelligence (AI) and modern Web Technologies to manage task execution, monitor workflow processes in real time, and improve decision-making. The system is based on a three-tier architecture consisting of a React-based frontend, Node.js backend, and a database system such as MongoDB.
An intelligent AI module is incorporated to analyze workflow patterns, predict delays, detect inefficiencies, and suggest optimized solutions. The proposed system significantly reduces manual effort, improves accuracy, and enhances overall organizational efficiency.
system significantly reduces manual effort, improves accuracy, and enhances overall organizational efficiency.},
        keywords = {Smart Workflow, Artificial Intelligence, Task Management, Web Technologies, Process Optimization},
        month = {April},
        }