An AI-powered feedback management system built with n8n and Google Gemini that automates student feedback processing and email notifications using AI agents.
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Updated
Jun 23, 2026
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
Laravel API backend for student feedback system, supporting CRUD operations for teacher evaluation.
Web-based platform for managing student aspirations, feedback, and organizational responses.
Educational quality analysis using student feedback and data mining techniques.
Next.js web UI for teacher evaluation system, supporting CRUD operations via API.
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.
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.
Codex Skill:将教师课堂记录整理成真实、自然、可直接发送给家长的中文反馈,支持普通课堂、小讲师与多学生场景。
AI-powered essay evaluation workflow for educators using n8n, OpenAI, and Gmail — automates feedback on grammar, creativity, and relevance.
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.
A single‑page, animated dashboard built with Chart.js to showcase your 100‑student survey.
Open-source education plugin with formative assessment and student feedback skills for AI agents — assessment design, hinge questions, success criteria, and class-set analysis.
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