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https://github.com/pragativerma18/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.
https://github.com/pragativerma18/mlh-quizzet
css flask-application hackathon html html-css-javascript javascript jinja2 machine-learning mlh mlh-fellowship nlp nlp-machine-learning python question-answering question-generation question-generator quiz upload-file
Last synced: 15 days ago
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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.
- Host: GitHub
- URL: https://github.com/pragativerma18/mlh-quizzet
- Owner: PragatiVerma18
- License: mit
- Created: 2020-10-06T07:09:38.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-07-09T19:30:56.000Z (7 months ago)
- Last Synced: 2024-12-31T01:16:21.066Z (22 days ago)
- Topics: css, flask-application, hackathon, html, html-css-javascript, javascript, jinja2, machine-learning, mlh, mlh-fellowship, nlp, nlp-machine-learning, python, question-answering, question-generation, question-generator, quiz, upload-file
- Language: Python
- Homepage:
- Size: 119 KB
- Stars: 81
- Watchers: 4
- Forks: 29
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# 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.
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/network/members)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/stargazers)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/watchers)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/pulls)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/issues)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/blob/master/LICENSE)
[](https://GitHub.com/PragatiVerma18/Fantastic-Falcons-1.0/graphs/commit-activity)
[](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
## 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?
[](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
💻
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
[](https://github.com/)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
[](https://www.python.org/)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
[](https://github.com/PragatiVerma18/Fantastic-Falcons-1.0/)
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