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@article{199315,
        author = {Mrunmai Gharat and Sanchi Dolas and Saloni Bandi and Shreya Adavale and Shweta Gaikwad},
        title = {Citizen Grievance Redressal Platform with AI Prioritization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13734-13738},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199315},
        abstract = {The Citizen Grievance Redressal Platform with Prioritization is designed to provide an efficient, transparent, and technology-driven solution for handling citizen complaints in smart governance systems. The platform enables users to register grievances online, track their status, and receive timely responses from concerned authorities. A key feature of the system is its prioritization module, which categorizes complaints based on urgency, severity, and impact using Natural Language Processing techniques for automated text categorization and sentiment analysis. This ensures that critical issues such as public safety or essential services receive immediate attention. The system architecture integrates user and admin modules, database management, and automated notification services to improve communication and accountability. By digitalizing the redressal process, the platform minimizes manual delays, enhances transparency, and promotes better interaction between citizens and government bodies. The project aims to create a scalable and user-friendly solution that strengthens trust in public service delivery and contributes to the development of smart city governance.},
        keywords = {Artificial Intelligence, e-governance, grievance redressal, NLP, prioritization, web system.},
        month = {April},
        }