Võ Thị Bích Tuyền

I built DroneEduAI, an end-to-end real-time computer vision platform that recognizes webcam hand gestures and converts them into drone control commands.

I developed its MediaPipe Hands and OpenCV pipeline, collected and curated a custom dataset, and trained a Logistic Regression classifier using 21 hand landmarks. I replaced an earlier YOLO-based approach with MediaPipe to reduce computational requirements and improve real-time inference performance.

For the UAV PV GAS CUP 2025, I developed a reconnaissance subsystem using OpenCV, ArUco, Raspberry Pi 4, and MQTT for real-time marker detection, onboard image processing, coordinate transmission, and autonomous navigation.

Alongside my AI projects, I teach Python game programming, robotics, and Photoshop through hands-on STEM projects, and previously contributed to Angular web application development at ITD Technology Corporation. I'm seeking to grow and contribute as an AI Engineer in Computer Vision and Video Analytics.