Smart Action Oriented Student Feedback System

Abstract: The Full Stack Student Feedback Collection, Evaluation and Reporting Platform is a web-based Application designed to systematically collect, analyze, and present student feedback in an actionable format for academic improvement. The platform is developed using React-JS for the Client-side interface, Java Spring Boot for backend services, and a relational database for Persistent data storage, and Spring Boot reference Implementations by adapting core entities to Student and Feedback. Updating the system with various applications with the integration of an Action-Oriented Feedback Insight Engine, which is automatically, evaluates both quantitative ratings and quality textual feedback’s from the students. The engine uses sentiment classification, keyword-based model extraction, and trend analysis techniques to transform raw feedback into simple, actionable insights and understandable by the faculty members. Instead of presenting only numerical scores, this platform will generates clear recommendations highlighting strengths, areas for improvement where the faculty members are low, and recurring student feedback’s. The system ensures structured feedback of that particular faculty, efficient data processing and meaningful visualization of outputs from the students through faculty dashboards and analytical reports. By reducing manual interaction efforts and enabling data-driven from the platform to make a decision, this platform will supports the faculty to continuous improvement in teaching and providing a quality academic delivery. The proposed solution demonstrates a scal- able, real-world application of full stack development concepts and enhances traditional feedback systems by bridging the gap between feedback collection and effective action.

Index Terms: Java Spring Boot, ReactJS, MySQL, Action- Oriented AI-Bot