– Developed an advanced real-time Eye Gaze Tracking and Head Pose Estimation system using MediaPipe and OpenCV to
monitor candidates during AI-assisted interviews
– The system accurately determines head orientation (forward, left, right, up, down) and eye gaze direction (left, right) to
detect cheating.
– Collaborated with AI, backend, and voice interaction teams to synchronize real-time eye-tracking data with AI agents
responsible for analyzing candidates’ LinkedIn, GitHub, and CVs, as well as driving voice-based interactions during the
interview.
– Demonstrated expertise in Python, computer vision, MediaPipe, OpenCV, real-time video processing, ensuring a
user-friendly and visually appealing system with real-time data updates.