An AI-powered feedback management system built with n8n and Google Gemini that automates student feedback processing and email notifications using AI agents.
Students has attended the multiple courses. At the end students provided the feedback on the course, instructor by answer the 30 Question. Given the feedback as a dataset, we have analysed the data using various Clustering Techiques.
A feedback system classifier which has a JAVA implementation of Naive-Bayes algorithm. The classifier can be used in a department to analyse feedback forms submitted by students
A guide created for CS-1400 mentors and instructors
试卷与小题得分分析 Codex Skill：数据核对、整班学情、教师逐人反馈、家长建议与多次考试对比 | Evidence-based exam feedback for teachers
Next.js web UI for teacher evaluation system, supporting CRUD operations via API.
RUET Faculty Review is an independent student feedback platform for reviewing teaching at Rajshahi University of Engineering & Technology (RUET). Includes project documentation, a sanitized ERD, and design screenshots. Not affiliated with or endorsed by RUET.
Web-based platform for managing student aspirations, feedback, and organizational responses.
Educational quality analysis using student feedback and data mining techniques.
An automated system that analyzes student feedback from Google Sheets, generates personalized recommendations with OpenAI, and delivers them via email.
A powerful Student Feedback Analytics platform leveraging AI to collect, analyze, and visualize feedback data for educational institutions.
Interactive Python CLI to collect, analyze and visualize student course feedback - TextBlob sentiment scoring, emotion and key phrase extraction, tabulated records and matplotlib rating charts, stored in a simple flat file.
Laravel API backend for student feedback system, supporting CRUD operations for teacher evaluation.
A responsive student feedback management system built with React, Vite, and Tailwind CSS, featuring role-based dashboards for administrators, students, and faculty, with feedback analytics and user management.
AI-powered essay evaluation workflow for educators using n8n, OpenAI, and Gmail — automates feedback on grammar, creativity, and relevance.
A centralized platform designed to collect, manage, and analyze student feedback on courses, instructors, and campus services. This system provides actionable insights for educators and administrators to enhance the educational experience and foster a culture of continuous improvement.
FeedbackGo ⚡ — A lightweight Android app for seamless ERP access, OTP login, and simplified student feedback management.
A sentiment analysis project that uses NLP techniques to analyze student course feedback, classify comments as positive, neutral, or negative, and uncover themes that explain student satisfaction beyond numeric survey ratings.
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