ION SMILE

AI Exam Proctor: Revolutionizing Online Exam Integrity

Empower Fair and Secure Assessments with Cutting-Edge AI Technology

Harnessing the Power of AI for Exam Integrity

Our AI Exam Proctor is meticulously crafted to leverage the power of artificial intelligence, meticulously monitoring exam activities and safeguarding the sanctity of your assessments. With its sophisticated algorithms and real-time detection capabilities, our AI proctor acts as a vigilant guardian, deterring and identifying potential cheating attempts.

Features

1. Suspicious Movement Detection

   Leverage AI to identify irregular head and eye movements that indicate potential cheating behavior.

2. Multi-Face Detection

   Employ advanced facial recognition technology to detect multiple faces within the webcam's field of view, flagging potential assistance during exams.

3. Object Detection

   Automatically identify prohibited objects like mobile phones, often used for illicit exam activities.

4. Comprehensive Reports

   Generates detailed reports on exam activities, including potential cheating incidents for post-exam review.

Compatibility

• Browser:
  Compatible with both desktop and mobile platforms
  Compatible with WebView

Installation

npm install --save ion-smile

Example usage:

import 'ion-smile/style.css';
import ionSmile from 'ion-smile';

const config = {
                credential:{
                    host    : "https://example.com/", 
                    token   : "example-token", 
                    userkey : "example-user", 
                    session : "example-session"
                },
                dom:{
                    embed: document.querySelector("#div-element"), // default embed to body
                    fit: true, // fit width & height to div embeded, default false
                    moveable:true // default false
                }
            }

const smile = new ionSmile(config);
    
    smile.init();

    smile.on("ready",(e)=>{
        if(e.module="ai" && e.status){
            smile.start()
        }
    });
    smile.on("alert",(e)=>{
        if(e.status){ // status = true, if fraud detected
            alert(e.description)
        }
    });