Software Engineer and Computer Vision Enthusiast
Skills: C++,Python, CSS, PHP, Computer Vision, Machine Learning, SQL(Database), Front-end design and Back-end integration, Git, and Linux.
During my final year of pursuing a Bachelor of Science in Computer Engineering, I undertook two significant projects that showcased my skills in both full stack web development and hardware-software engineer.
Full Stack Web Development Project:
Website: -----------
I designed and developed a dynamic e-commerce website for clothing using CSS, PHP, and a LAMP/WAMP stack with a MySQL database. Leveraging my expertise in Relational Database Management Systems (RDBMS), I created a robust back-end to support two types of users: customers and administrators. Customers could browse products, add items to their cart, and place orders, while administrators had comprehensive control over product management, order fulfillment, and user management. After rigorous testing on LAMP/WAMP, I successfully deployed the site on Hostinger.
Hardware and Software Integration Project:
For my thesis, my team and I developed an Image Classification System using the NVIDIA Jetson Nano and libraries such as Jetson Inference and PyTorch. The project involved:
Designing a camera backlight PCB using Proteus and getting it manufactured.
Creating a 3D case to house the camera, PCB backlight, and Jetson Nano.
Installing necessary drivers and setting up the Jetson Nano and camera.
We trained the system using PyTorch and OpenCV, employing the OTSU Method for optimal edge detection. The training involved comparing the readings from pH strips dipped in various solutions to a pH meter, using GoogLeNet for our neural network. After training with over 900+ images, we developed a system capable of accurately identifying the pH level of solutions through computer vision, displaying results on a mounted monitor. The system could classify solutions as -----------, neutral, or basic.
