README.md

Auto-Proctoring Exam Web Application 🌟

A platform that aims to stop cheating in online exams with the power of AI and ML.

This is the my upgraded version of Prathamesh Mutkure's Anti-Cheat Exam Web App with new features:

• Randomize Questions & Answers Order
• Disable Copy Paste, Print Screen and Open DevTools Hotkeys
• DevTools Detection & Protection
• Content Management System for Managing Exams, Questions & Students
• Credibility Score System & View Exam Results

• Demo

• Features and Interfaces

  • Home
  • Login and Authentication
  • Dashboard
  • Exam
  • Face Detection

• Tech Stack

• Important Notes

• Getting Started

• Useful Links

• Credit

• Contact

Features and Interfaces

1. Home Page

   • Landing Page which lists all the features of the app
   

2. Login Page (Authentication)

   • Fast and secure authentication
   • JWT tokens used to persist the authentication state
   

3. Dashboard

   • Shows bried information about all the exams assigned to the user

   • The user can start an exam only at the correct timeslot

   • If there are no exams available, you can go to the CMS website to create a new one

   

4. Exam Page

   • Simple and minimalistic exam page where the user can answer MCQ-based questions

   • The user can view and track their progress

   

5. AI-powered face motion detector

   • I've used Google's Mediapipe library to track the motion of the user's face

   • This app can check if a user is trying to cheat by monitoring the co-ordinates of their face

   • The face detection is performed on client without sending anything to the server

   • Thus, Face detection is fast and real-time

     Anti-Cheat.Web.Demo.MP4.mp4

Tech stack

• Next.js (React)

• TypeScript

• Redux

• Axios

• Google Mediapipe

• NextAuth with JWT

Important Notes

1. First setup the backend by following the instructions in this repository

2. Use ID '20198235' and password 'namkiet3010' to login or you can create a new student account at CMS website

3. Allow permissions for camera and mic when asked

4. Make sure the BACKEND_URL is appended with /api

Getting Started

1. Clone the project

   • https://github.com/namkiit/auto-proctoring-exam-web-app.git

2. Install all the packages

   • npm install

3. Create a .env file and set the following variables or as shown in the .env.example file

   • NEXT_PUBLIC_BACKEND_URL

   • NEXTAUTH_SECRET

   • NEXTAUTH_URL (must be identical to the url of the app)

4. Run the app

   • npm run dev

5. Open http://localhost:3000 with your browser to see the app

Useful Links

• Project Demo

• Backend Repository

• CMS Repository

• Graduation Thesis

• Graduation Thesis Slide

Credit

Base project belongs to Prathamesh Mutkure. You can know more about him at Twitter or prathamesh.co

Contact