A Python-based tool leveraging AI to generate multiple-choice questions (MCQs) and answers from provided text or datasets. Utilizes NLP libraries and Flask to create an interactive web interface for educational content creation.

This folder contains the internship assessment for Akaike Technologies, comprising assignments related to Data Science and NLP.

🔖 Shree MCQ Generator: Transforming PDFs into Interactive Quizzes 🚀

Offline MCP server for educational content generation (MCQs, lesson plans, flashcards) without LLMs — built using Flask. Fully Claude-compatible and browser-testable.

In this we generate MCQs from the text format input or paragraph input

All-in-one Chrome Extension to summarize, generate MCQs, highlight correct answers, and answer questions using Gemini AI.

PDFQuizzer is an AI-powered web app that converts PDF documents into structured MCQ quizzes using LangChain and Groq LLMs. Upload a PDF, choose the number of questions, and instantly generate clean, answer-ready questions.

Web application to dynamically generate multiple-choice questions (MCQs) with a Next.js frontend and FastAPI backend.

MCQ Generator on Generative AI built using LangChain and HuggingFace API open source LLM and streamlit for building web app

mcq_generation_openai_llm

Overview: Developed a real time MCQ creator using LangChain and Google Gemini. User interface built using the Streamlit application. Backend Model: Utilized the LangChain framework and Gemini Pro model at the backend. Gemini Pro processes user input and generates responses.

MCQ Generator is a Flask-based web app that creates multiple-choice questions from text, URLs, or PDFs using NLP. It features a clean UI, lets users choose question count, shows correct answers, and supports PDF downloads for easy quiz creation.

An interactive learning platform that generates custom multiple-choice questions using AI.

AI-powered lecture summarization and learning assistant with contextual chat, MCQ practice, and PDF revision sheets (FastAPI + React).

React frontend for AI-powered coding challenge generation with Clerk authentication, interactive MCQ interface, and challenge history management

Nepali MCQ Generator powered by Gemini 2.5 with Streamlit

A free and open-source AI-powered study tool that transforms your documents into MCQs and flashcards using Google's Gemini API. Built with Next.js, Firebase, and Tailwind CSS for fast and responsive learning