QuizzeR

A bot which generates Multiple Choice Questions for an input keyword. Fetches information from Wikipedia and analyses the received information using spaCy and NLTK. Generates MCQ type question with 70-80 % accuracy. Implemented in Python, Flask, HTML/CSS.

Demo Link

You will have to run it locally on your machine.

Github Repo Link

adhv45 / QuizzeR

QuizzeR

Quizzer is an online quiz making bot which fetches information from Wikipedia and analyses the received information using spaCy and nltk. The accuracy is 70-80 % for questions.

Prerequisites

Things you need to install first get pip for python3 (included env is based on python3.7 so use new env if needed)

Debian/Ubuntu : sudo apt-get install python3-pip
arch : sudo pacman -S python-pip

python3 libraries required: spacy, flask, Wikipedia, hunspell. already included wikipedia as there were issues with originel api. And already included nltk with tokeniser data.

first enter virtual env 
    source QUIZZER_DIR/.env/bin/activate
    
install these packages using pip (pip3 for python3):

i.e.
```
    pip3 install -v spacy (do the same for flask, hunspell)
        google if u face some error installing hunspell
        
    download spacy database for english
        python3 -m spacy download en
```

using new environment

rm -rf QUIZZER_DIR/.env
virtualenv .env
source .env/bin/activate
install wikipedia using pip
    edit .env/lib/pythonX.X/site-packages/wikipedia/wikipedia.py
        aroung

…

View on GitHub

How I built it

• Search the content from Wikipedia.
• Divide into sections.
• Filter the sentences by length and no. of named entities after than pick two random sentences from each section.
• To make question remove the most important keyword and replace it with a blank string.
• Use similarity to generate options.

Additional Thoughts / Feelings / Stories

It was my first project which we did on our own in a college hackathon.