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.
You will have to run it locally on your machine.
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.
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
- 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.
It was my first project which we did on our own in a college hackathon.