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Assignment Submission Application

Problem Statement

After the onset of the pandemic and an eternal lockdown, education systems find it difficult to ensure proper and fair academic development of students. Assignment submissions have become more of a copy-paste job rather than an honest process. When assignments are taken from a remote location, integrity of the system reduces automatically. We aim to solve this problem by implementing a simple, interactive application that enables teachers to post their assignments without worrying about plagiarism and copy-work.

Installation

Features of the Application

  • A Registration and Login system for students and teachers with user authentication and encryption.
  • Teacher and Student classification
  • A dashboard to view and manage assignments and classrooms
  • Code based classrooms to post Assignments in
  • Eye-tracking System to detect visual cheating
  • Plagiarism detector to detect contextual cheating in answers
  • Face Detection and Person Detection System to further track malpractice
  • PDF submission facility for the students to submit their answers
  • Robust and Lightweight Tech-Stack

Dependancies

PLAGIARISM

  • Python Flask
  • Doc2vec, spacy, gensim, scipy, nltk
  • glove-twitter-25 dataset

Link to code: https://github.com/ShabarishRamaswamy/flaskPlagarismTest

EYE GAZE TRACKING

  • clmtrackr.js
  • clmtrackr.min.js
  • p5.min.js
  • p5.dom.min.js
  • Basic webcam functionality
  • Inbuilt-javascript functions for drawing demarcations and calculating flexible value ranges while calculating eye movement

FACE DETECTION

  • tensorflow.js
  • face-api.min.js
  • Live-server testing

WEB DEVELOPMENT

Frontend:

  • HTML
  • CSS
  • JS
  • EJS.

Backend:

  • NodeJS
  • Express
  • PassportJS
  • Nodemailer SMTP
  • Node Crypto