ChatGPT Interfaced Quiz Generator

Microsoft Fluent UI Styled Mockup + Sample Dataset

Project Name
ChatGPT Interfaced Quiz Generator
Technology / Platform
Web App (React/Next.js), Backend (Node.js / Python Flask), Database (MongoDB/PostgreSQL), API integration with OpenAI GPT-4/5, Fully Responsive UI/UX
Problem Statement
Manual quiz creation is time-consuming, inconsistent, and often lacks adaptability to learners’ needs.
AI Component
ChatGPT NLP model generates quiz questions, provides hints, evaluates answers, and adapts difficulty based on user performance.
Solution
Uses ChatGPT to automatically generate MCQ, fill-in-the-blank, and short-answer quizzes from syllabus or uploaded text. Supports instant customization, difficulty adjustment, adaptive learning feedback, and analytics.
Societal Impact
Makes education more accessible and personalized globally. Reduces educator workload, enhances learning outcomes, and is scalable for schools, universities, online courses, and corporate learning.
Sample Dataset — Generated Quiz Items
Dataset representing questions generated by ChatGPT.
Question ID Type Question Text Options Correct Answer Difficulty
QZ-001 MCQ What is the powerhouse of the cell? A) Ribosome B) Mitochondria C) Nucleus D) Golgi B Easy
QZ-002 Fill Blank The process of converting light energy into chemical energy is called ______. Photosynthesis Medium
QZ-003 Short Answer Define Artificial Intelligence. Machine-based intelligence Medium
QZ-004 MCQ Which data structure uses FIFO? A) Stack B) Queue C) Tree D) Graph B Easy
Sample Dataset — User Performance Tracking
Used for adaptive difficulty and progress analytics.
User ID Quiz ID Score Time Taken Accuracy Next Difficulty
USR-101 QUIZ-01 8/10 6 mins 80% Medium
USR-202 QUIZ-02 4/10 12 mins 40% Easy
USR-303 QUIZ-01 9/10 5 mins 90% Hard
USR-404 QUIZ-03 7/10 7 mins 70% Medium
Sample Dataset — AI Quiz Generation Logs
Tracks how ChatGPT generated questions, hints, and answers.
Log ID Action Input Source Status Time Notes
LOG-01 Quiz Generation Uploaded PDF — Biology Ch.3 Success 3.4 sec Generated 12 questions
LOG-02 Difficulty Adaptation User USR-202 performance Success 0.8 sec Recommended easier questions
LOG-03 Hint Generation Question QZ-004 Success 0.5 sec Provided topic-level clue
LOG-04 Quiz Regeneration Syllabus text – Data Structures Failed API rate limit hit