Found 2,165 repositories(showing 30)
ramsrigouthamg
Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet
Hrishikesh332
No description available
sunnysavita10
No description available
prachijain136
Automated Question Generator & Summarizer using BERT (Bidirectional Encoder Representations from Transformers)
PushkaraSharma
Web App that helps teachers to generate multiple choice questions by taking text or article as an input.
Kunal-Varma
This repo explains how to create a mcq generator for primary kids using NLP techniques like transformer
Azazel0203
The "MCQ Generator with Streamlit" web app utilizes OpenAI's language models to create multiple-choice questions (MCQs) from uploaded PDF or text files. Users can customize question parameters like quantity, subject, and tone. The app offers real-time complexity feedback and presents MCQs in an easy-to-read tabular format.
ramsrigouthamg
Use pretrained BERT model to automatically generate grammar multiple choice questions (MCQ) from any news article or story.
AayushMathur7
No description available
rohanmistry231
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.
No description available
DevSujal
No description available
csv610
Generate Multi-Choices Questions using LLM
vaishnaviverma
A project that will create MCQs from a text article.
Triveni-35
This web application allows users to upload documents (PDF, DOCX, TXT) and automatically generate multiple-choice questions (MCQs) using AI. The generated MCQs can be downloaded in both text and PDF formats, making it a powerful tool for educators, students, and content creators looking to quickly generate quiz material from existing documents.
nirmals-workspace
Leveraging Langchain's powerful conversation chain and conversational buffer memory to generate MCQs from given context from pdf
youzizzz1028
大模型赋能的选择题自动生成，利用langchain工具，加入谷歌搜索和POT辅助
YoussefMoHlemyAlpha
Bloom’s Taxonomy RAG Tutor is an AI-powered learning app that transforms lesson PDFs into interactive quizzes. Using RAG, FAISS, and LLMs, it generates Bloom-based MCQs across all levels, lets students test knowledge, and provides analytics to track performance and mastery.
ThankaBharathi
No description available
mrvaibhavbhardwaj
This project is an AI-powered MCQ Generator and Text Summarizer built using Python, NLP, and Gradio. It allows users to automatically generate multiple-choice questions (MCQs) and summarize text in two modes — Brief and Detailed.
sanskarmodi8
No description available
No description available
ramsrigouthamg
No description available
muditchoraria
MCQ's are widely used question format used for general assessment on domain knowledge. The problem statement here is to generate 3 distractors options for the multiple choice question given the correct answer for that MCQ.
AkshaySatasiya
The MCQ Generator, using Langchain, creates tailored multiple-choice questions from input text. With a Streamlit interface, users upload files and customize MCQ quantity, subject, and complexity. It intelligently generates questions and logs events for tracking.
FawziElNaggar
Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.
This project aims to generate semantically and structurally similar text while keeping the context of the statement. Major use of this could be generating 2 or more distractors given the question and solution of a Multiple choice question.
indrasuthar07
No description available
AnindyaMaity1
No description available
SHIVANSH-A
No description available