README.md

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.

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

WorkFlow

Demo Video

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?

GitHub Repository Structure

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

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

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
2.	Kshitij Kotasthane	Backend Developer	@kshitij86
3.	Vignesh S	ML	@telescopic

Contributors ✨

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!

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