Wahab Tanveer

I've built an autonomous mobile robot surveillance and response system that combines YOLO vision, ROS navigation, coordinate mapping, and Flutter-based mobile control. The system detects activities, maps real-world coordinates, and navigates autonomously to target locations.

My work spans STM32 and ESP8266 control systems, FPGA finite-state machines in Verilog, CAN communication, A* path planning, and real-time vision-to-action pipelines. I've also trained YOLO models for person, vehicle, license plate, and scene analysis, and applied TensorFlow/Keras through DeblurGAN image restoration.

Alongside my Computer Engineering studies, I've spent two years diagnosing and repairing smartphones and audio hardware, strengthening my hands-on electronics troubleshooting. I'm an active robotics competition participant and a multiple Dean's and Chancellor's Honor Roll recipient.