IntegrityWatch

Elevator Pitch: IntegrityWatch harnesses the power of AI to ensure fairness and integrity in online exams. By detecting cheating behaviors more accurately and non-intrusively, we help educational institutions uphold their standards anywhere, anytime – without compromising on privacy or exam quality.

Concept

AI-driven online examination proctoring service

Objective

To provide educational institutions and certification bodies with a robust and efficient cheating detection system for online examinations.

Solution

IntegrityWatch leverages the CHEESE framework for cheating detection using advanced analytics of body posture, gaze angle, facial features, and background information through AI and machine learning.

Revenue Model

Subscription-based for educational institutions and pay-per-exam for certification bodies.

Target Market

Universities, MOOC platforms, professional certification providers, and other educational institutions shifting towards or enhancing their online examination systems.

Expansion Plan

Start with partnerships in higher education and expand to corporate training and certification sectors worldwide.

Potential Challenges

Ensuring the privacy and security of students’ data, adapting the system to a wide variety of examination settings and subjects, and managing the high computational demands.

Customer Problem

The difficulty in maintaining exam integrity and fairness in online environments due to widespread cheating and limited detection capabilities.

Regulatory and Ethical Issues

Compliance with global data protection laws (GDPR, CCPA, etc.), ensuring bias-free and fair assessments, and maintaining transparency with users about data usage.

Disruptiveness

By providing a more comprehensive, efficient, and less intrusive cheating detection system, IntegrityWatch can revolutionize online exam proctoring, making it more accessible and trustworthy.