# MLH Quizzet
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.
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[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/blob/master/LICENSE)
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[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
## Features
- implements automatic question generation _(AQG) techniques_
> **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))
- helps in **resource saving**(time, money and human effort)
- enables the **enrichment of the teaching** process, adapt learning to student knowledge and needs, as well as drill and practice exercises
- presents an _automatic mechanism_ to assemble exams or to adaptively select questions from a question bank
## Technology Stack:
- **Frontend**: HTML, CSS, Vanilla JS
- **Backend**: Flask
- **IDE**: VS Code
- **Design**: Canva
- **Version Control**: Git and GitHub
- **Database**: Sqllite3
## How to Get Started?
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/blob/webapp/requirements.txt)
[](https://www.python.org/)
### GitHub Repository Structure
| S.No. | Branch Name | Purpose |
| ----- | ----------------------------------------------------------------------------- | ---------------------------------- |
| 1. | [master](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/tree/master) | contains the main code |
| 2. | [nlp](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/tree/nlp) | contains all machine learning code |
| 3. | [webapp](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/tree/webapp) | contains all frontend/backend code |
### Setup
- Fork and Clone the repo using
```
$ git clone https://github.com/PragatiVerma18/Fantastic-Falcons-1.0.git
$ cd Fantastic-Falcons-1.0
```
- Change Branch to `webapp` using
```
$ git checkout webapp
```
- Setup Virtual environment
```
$ python3 -m venv env
```
- Activate the virtual environment
```
$ source env/bin/activate
```
- Install dependencies using
```
$ pip install -r requirements.txt
```
- Run Flask server using
```
$ python app.py
```
## Browser Support
- **Firefox**: version 4 and up
- **Chrome**: any version
- **Safari**: version 5.2 and up
- **Internet Explorer/Edge**: version 8 and up
- **Opera**: version 9 and up
> **Note**: Support for modern mobile browsers is experimental. The website is not responsive in mobile devices until now.
## MLH Fellowship( Fall 2020)
> This is a hackathon project made by MLH Fellows(Fall 2020) - Pod 1.0.0 i.e. Fantastic Falcons
[](https://github.com/MLH-Fellowship)
## Team:
> "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](https://github.com/PragatiVerma18) |
| 2. | Kshitij Kotasthane | Backend Developer | [@kshitij86](https://github.com/kshitij86) |
| 3. | Vignesh S | ML | [@telescopic](https://github.com/telescopic) |

## Contributors ✨
Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
Pragati Verma 💻 |
Kshitij Kotasthane 💻 |
Vignesh S 💻 |