Grievance redressal system for educational institution

This paper focuses on developing a web-based college grievance and feedback management system to replace the existing manual and time-consuming complaint process. The proposed system enables students, faculty, and staff to file, track, and manage complaints efficiently through a user-friendly interface. It is built using three main components: a JSON database for secure complaint storage and retrieval, a backend developed with Node.js and Flask to handle the logic, and a frontend using HTML and CSS for accessibility and ease of use. Key features such as role-based access, notifications, and report generation enhance transparency, accountability, and data-driven decision-making. This system ensures quick and fair redressal of grievances while improving campus facilities, faculty performance, and overall satisfaction. In the future, AI automation such as complaint categorization and routing using large language models (LLMs) can further enhance efficiency, responsiveness, and create a more student-centered and transparent campus experience.