International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1718035

1718035PublishedVol 9 · Issue 11

Data-Centric Grievance Redressal System

Prof. Swapnil Patil Balaji Wadhekar Mauli Phad Akankshea Mundhe

Subject area: Science,Engineering and Technology  ·  Area of research: Grievance Redressal System

DOI: https://doi.org/10.64388/IREV9I11-1718035

Abstract

Efficient grievance redressal is a critical component of institutional governance in higher educational environments, as it directly influences student trust, transparency, and ad- ministrative accountability. In many colleges, grievance handling is still performed through manual or loosely structured digital channels, resulting in delayed resolutions, limited traceability, and ineffective communication. This paper presents a web-based College Grievance Redressal Portal (CGRP) that introduces a centralized, role-based, and workflow-driven framework for grievance management. The proposed system supports structured grievance submission, priority-based processing, automated escalation, and real-time notification through email and SMS. A centralized database architecture enables complete lifecycle tracking and auditability of grievances. Experimental evaluation through pilot deployment indicates improved response time, reduced administrative overhead, and enhanced transparency compared to conventional grievance handling approaches.

Keywords

Grievance Redressal, Institutional Governance, Web Application, Role-Based Access Control, Notification System, MongoDB

How to cite this paper

Prof. Swapnil Patil, Balaji Wadhekar, Mauli Phad, Akankshea Mundhe "Data-Centric Grievance Redressal System" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 3611-3615 https://doi.org/10.64388/IREV9I11-1718035
Prof. Swapnil Patil, Balaji Wadhekar, Mauli Phad, Akankshea Mundhe "Data-Centric Grievance Redressal System" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026, doi: https://doi.org/10.64388/IREV9I11-1718035
Prof. Swapnil Patil, Balaji Wadhekar, Mauli Phad, Akankshea Mundhe (2026). Data-Centric Grievance Redressal System. Iconic Research And Engineering Journals, 9(11). doi: https://doi.org/10.64388/IREV9I11-1718035
Prof. Swapnil Patil, Balaji Wadhekar, Mauli Phad, Akankshea Mundhe "Data-Centric Grievance Redressal System" Iconic Research And Engineering Journals, vol. 9, no. 11, May. 2026. Crossref, https://doi.org/10.64388/IREV9I11-1718035
@article{1718035,
      author = {Prof. Swapnil Patil, Balaji Wadhekar, Mauli Phad, Akankshea Mundhe},
      title = {Data-Centric Grievance Redressal System},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {3611-3615},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718035.pdf},
      abstract = {Efficient grievance redressal is a critical component of institutional governance in higher educational environments, as it directly influences student trust, transparency, and ad- ministrative accountability. In many colleges, grievance handling is still performed through manual or loosely structured digital channels, resulting in delayed resolutions, limited traceability, and ineffective communication. This paper presents a web-based College Grievance Redressal Portal (CGRP) that introduces a centralized, role-based, and workflow-driven framework for grievance management. The proposed system supports structured grievance submission, priority-based processing, automated escalation, and real-time notification through email and SMS. A centralized database architecture enables complete lifecycle tracking and auditability of grievances. Experimental evaluation through pilot deployment indicates improved response time, reduced administrative overhead, and enhanced transparency compared to conventional grievance handling approaches.},
      keywords = {Grievance Redressal, Institutional Governance, Web Application, Role-Based Access Control, Notification System, MongoDB},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718035}
  }