GithubHelp home page GithubHelp logo

automated-marksheet-generator's Introduction

Automated Marksheet Generator

Table Of Contents

  1. Installation

  2. Usage

  3. Future Development

Installation

Requirements

  • You must have Python >=3.8 installed on your PC.
  • Also check whether you have pipenv installed. If it's not, run the following command: pip install pipenv

Setting the virtual enviornment

After cloning the project, run pipenv shell to create a pipenv virtual enviornment. After initialising the virtual enviornment, run pipenv install to install the dependencies. After successfully installing the dependencies, you can run the generator. Happy hacking :)

Usage

Structuring the data

The generator will require data aligned with a predefined schema so that it will detect all the necessary data. The schema is as follows:


Roll Number Name Physics Chemistry Math English Biology CS
1 Name1 50 60 50 50 50

  • If a particular student isn't enrolled in a subject, you can keep the cell blank as shown in the above table.
  • To add, remove, or modify subjects, run py util/change-schema.py

Exporting data as CSV

Microsoft Excel

  1. In the File tab, click 'Save As'
  2. In the file save prompt, enter the name of the file with the .csv extension(eg. filename.csv) and select 'CSV (Comma Delimited)' in the file type

Running the generator

Open a terminal window in this folder and run py app.py

Future Development

NOTE: This project was created as a part of my academic session.

This project can still have more features, but it will probably be worked out in my next academic year. But still, if you are willing to contribute, open a pull request at the GitHub repository or if something's broken, open an issue there.

automated-marksheet-generator's People

Contributors

retronav avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.