Thank you for visiting my page! Here's a bit about me.
As a student at Prairie View A&M, I've worked on and with various languages such as Javascript, C++, and
Python while learning about concepts like Data Structures and algorithms. Through previous work and
contributions in the past few years, I've found myself well-versed in monitoring software and sophisticated
cloud services such as Google Cloud Services and Amazon Web Services.
I'm focusing specifically on the hardware aspect of my career, how to improve my skill set, and how to
implement everything I learn.
I'm constantly eager to explore emerging technologies and innovative ideas, all while keeping accessibility
in focus! No challenge is too unconventional for me, and I'm enthusiastic about becoming well-versed in
tackling any task that comes my way.
In my free time, I love to work on cars. I've built multiple E36 BMW project chassis, to name a few. Working
on these cars has taught me skills such as engine rebuilding, wiring, and automotive hardware development.
If you are curious about what I'm up to on my project cars, please check out my Instagram page, where I post
car-focused content
Reach out to me at fawazabdulwahab@gmail.com
Lane Detection With Computer Vision
This project is a Python-based lane detection system that uses OpenCV for real-time identification of road lanes. It combines Canny Edge Detection to identify edges and Hough Line Transform to detect lane lines in video frames. The model is optimized for accurate lane boundary detection, making it suitable for autonomous driving and road analysis tasks.
Embedded Systems With Arduino
In this project, I developed an Arduino-based motor control system that uses CAN bus communication and Serial communication to enable real-time control and monitoring of motor operations. The system reads speed and direction data from the GUI. It transmits the controls with serial communication to adjust the motor's behavior and display vital information such as RPM and voltage. The system can then use CAN bus communication to transmit the motor controls to another Arduino motor system, allowing simultaneous control and creating an integrated ecosystem for efficient motor management.