Automated Multiple-Choice Question Generation Using Gemini Gen AI

Abstract

In today's rapidly evolving educational landscape, the need for efficient and reliable assessment tools has never been greater. This project introduces an AI-powered system designed to automate the creation of multiple-choice questions (MCQs) across various subjects. By integrating the Gemini Gen AI API for natural language processing, Streamlit Python for an intuitive user interface, and pyttsx3 for text-to-voice functionality, this system simplifies and enhances the process of question generation.

Beyond its role in educational institutions, this system holds significant value for corporate training programs, online learning platforms, and automated assessment frameworks. By reducing the manual workload for educators and trainers, it promotes efficiency while maintaining high standards of question quality. As a step forward in educational technology, this project demonstrates the potential of AI in transforming assessment methodologies.