Git Product home page Git Product logo

college-attendance-analyzer's Introduction

College Attendance Analyzer PWA for DJSCE

Netlify Status

This attendance app provides total attendance from the start of the semester upto the current date. It is done by using web scraping to scrape data from the SVKM Portal website.

Attendance analyzer provides details in 3 colored zones (sorted in ascending order as per attendance):

  • Red zone: attendance < 75% -- shows no. of lectures to attend to have attendance >= 75%
  • Green zone: attendance >= 75% -- shows no. of lectures that can be missed still having attendance >= 75%
  • Yellow zone: attendance >= 75% -- this means, it is not possible to miss even 1 lecture to maintain attendance >= 75%

A few points to note:

  • No database is used, the credentials entered are directly used to get the data, not saved anywhere.
  • Implemented hashing for SAPID, before sending data to Google Analytics ensuring users privacy.
  • The SVKM portal doesn't get updated immediately, so any given day's attendance most probably reflects after a few days.
  • Since the wait time to get current data is long, last viewed data is stored in local-storage, it can be analyzed till then.
  • There are some discrepancies in the data on the NMIMS app vs SVKM portal, verify your attendance to be sure!

Screenshots of the PWA:

image

image

image

image

image

image

image

image

image

image

  • Analytics

image

image

image

image

image

image

image

image

Future Scope:

  • Update logic to make the response time faster, currently too slow
  • Option to select a date range to show the attendance data

college-attendance-analyzer's People

Contributors

mohitdhatrak avatar

Stargazers

Rachit Garg avatar Aradhya Sakalley avatar

Watchers

 avatar

Forkers

utkarshverm4

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.