Examinator

About

Examinator is a smart examination system developed to assist in invigilation of online exams using Artificial Intelligence to monitor a student using their webcam feed. The purpose of the system is to show invigilators filtered streams based on the level of suspiciousness.

Quick Start

# Navigate to the server directory
cd server

# Install dependencies for Express server
npm install

# Install dependencies for React client
npm run client-install

# Install dependencies for WebRTC Server
npm run webrtc-install

# Install dependencies for Flask Server
npm run flask-install

# Run the React client, Express, WebRTC and Flask Servers with concurrently
npm run dev

# Run the Express server only
npm run server

# Run the React client only
npm run client

# Run the WebRTC Server only
npm run webrtc

# Run the Flask Server only
npm run flask

# Express Server Port:  4000 
# React client Port:    3000
# WebRTC Server Port:   4001
# Flask Server Port:    5000

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start mongodb with

docker-compose -f .\mongo-docker-compose.yml up -d

start server with node server.js when database connected successfully

install mongo compass install postman

import examinator.postman collection in postman

create instructor using

post request using postman http://localhost:4000/api/admin/addInstructor

payload

{ "fname": "Ali", "lname": "Shoukat", "userName": "ali.shoukat", "email": "[email protected]", "password": "abcd1234" }

signin using instructor portal

copy auth-token of instructor

use that token in the header 0f following post requests

addstudent

addcourse

Rest of the part can be done using UI