Following endpoints are open to use
/v1/quiz?topics=Apple
Generates a quiz from some Wikipedia article name. Following options can be added:
| name | type | description |
|---|---|---|
| topics | required | Name of the article/topic to get data from |
| limit | optional | Limit the number of questions |
| options | optional | Number of options for MCQs |
| fill_blanks | optional (boolean) | Include fill in the blanks questions |
/v1/wikisearch?search=Apple
Returns Wikipedia search results in a structured way. Following options can be added:
| name | type | description |
|---|---|---|
| search | required | Search query string |
This is an API that can be used to create multiple choice/fill in the blanks type quiz using Wikipedia articles. It uses NLP and certain heuristics to create questions. Currently the questions generator works well with Wikipedia articles because of the way these articles are written.
This project uses spaCy which is a powerful NLP library built on Python. NER(Named Entity Recognition) feature of spaCy is extensively used in the generation process.
The API is built on Flask as of now.
I wanted to create a quiz app based on Wikipedia, since I couldn't find any API that did this, I decided to try building it myself. I am new to NLP and ML in general, hence this project has a long way to go.
This project runs on Heroku's free tier. Hence the computational limitations don't allow it to produce higher accuracy results or process very large Wikipedia articles. Also, the API goes to sleep when inactive.