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1
1
India
1 year of experience
I am a B.Tech Computer Science (Data Science) student with a passion for Artificial Intelligence, Machine Learning, Data Science, and software development. I enjoy solving real-world problems through technology, participating in hackathons, and continuously learning new tools and frameworks. I believe in teamwork, innovation, and lifelong learning, and I am excited to build impactful AI-powered solutions that make a positive difference.

AI Quiz Generator is an intelligent educational web application that automatically creates high-quality multiple-choice quizzes on any user-defined topic using Google's Gemini Large Language Model (LLM). Instead of relying on pre-written question banks, the application dynamically generates unique, context-aware questions in real time, making learning more engaging and personalized. Users simply enter a topic such as Python, Java, Machine Learning, Data Structures, or Cyber Security and choose the number of questions they want. The application then communicates with the Gemini AI model to generate well-structured multiple-choice questions with four options and the correct answer in JSON format. The project is built using Python and Gradio, providing a clean, responsive, and interactive web interface. Users can answer each question, submit the quiz, receive an instant score, view their percentage, pass/fail status, and review the correct answers for every question. Input validation and error handling ensure reliable quiz generation even when API responses vary. This project demonstrates the practical use of Large Language Models (LLMs) in education by automating content generation and reducing the need for manually created question banks. It highlights how generative AI can improve personalized learning experiences while providing immediate feedback to learners. Future improvements include difficulty selection, timed quizzes, user authentication, leaderboard support, PDF export of quizzes, multilingual question generation, and integration with AMD Developer Cloud or Fireworks AI to run open-source LLMs such as Llama or Qwen for faster and more scalable deployment.
13 Jul 2026