Artificial Intelligence
EdTech
Lifting the Online Education Experience
Our AI-powered exam platform revolutionizes integrity, providing a trusted, accessible assessment environment. This case study highlights AI's potential in solving online education and assessment challenges.
WELEARN
Business Challenge
Welearn, an online exam platform aimed to enhance exam integrity by implementing an AI-driven face detection system. Conventional methods lacked efficiency and accuracy, prompting the need for a reliable solution that could authenticate exam takers in real-time.
Solution
Through rigorous research and development, a custom ML model leveraging CNNs and facial landmark detection algorithms was crafted. This model was seamlessly integrated into the exam platform, offering real-time monitoring and identity verification capabilities.
Result
With over 95% accuracy, the face detection application processed thousands of exam sessions, significantly reducing instances of cheating and identity fraud. It streamlined exam administration, eliminating the need for manual proctoring and saving resources.
Developed using TensorFlow and Python, the ML model utilized OpenCV for image processing and RESTful APIs for platform integration.
A collaborative effort involving AI engineers,
ML researchers, and software developers ensured the successful deployment and
optimization of the face detection application.
The implementation of AI-powered face detection transformed the online exam experience, ensuring fairness and security. The platform's reputation soared, attracting new clients and solidifying its position as an industry leader in exam integrity solutions.