This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Automatic question generation (AQG) is concerned with the construction of algorithms for producing questions from knowledge sources, which can be either structured (e.g. knowledge bases (KBs) or unstructured (e.g. text))
<img src="https://user-images.githubusercontent.com/42115530/95742312-6c40e580-0cad-11eb-89a5-c2ee099bf8d7.png" alt="MLH-Quizzet" title="MLH-Quizzet" width="400px" />
S.No. | Branch Name | Purpose |
---|---|---|
1. | master | contains the main code |
2. | nlp | contains all machine learning code |
3. | webapp | contains all frontend/backend code |
$ git clone https://github.com/PragatiVerma18/Fantastic-Falcons-1.0.git
$ cd Fantastic-Falcons-1.0
webapp
using$ git checkout webapp
$ python3 -m venv env
$ source env/bin/activate
$ pip install -r requirements.txt
$ python app.py
Note: Support for modern mobile browsers is experimental. The website is not responsive in mobile devices until now.
This is a hackathon project made by MLH Fellows(Fall 2020) - Pod 1.0.0 i.e. Fantastic Falcons
"Alone we can do so little; together we can do so much."
S.No. | Name | Role | GitHub Username:octocat: |
---|---|---|---|
1. | Pragati Verma | Frontend Developer | @PragatiVerma18 |
2. | Kshitij Kotasthane | Backend Developer | @kshitij86 |
3. | Vignesh S | ML | @telescopic |
Thanks goes to these wonderful people (emoji key):
Pragati Verma 💻 |
Kshitij Kotasthane 💻 |
Vignesh S 💻 |
This project follows the all-contributors specification. Contributions of any kind welcome!