Developed an inspection system for variable data printing, utilizing OCR to recognize characters and OCV to detect defects like breakages or excess ink. The system also validates data codes and barcodes to ensure print quality and accuracy.

A deep learning model to automatically segment polyps from colonoscopy images. This assists medical professionals in early detection of colorectal cancer by highlighting potentially cancerous growths.

Developed a computer vision system for real-time quality inspection on an assembly line. This system identifies defects in manufactured parts with high accuracy, reducing manual labor and improving production quality.

Built and programmed a robot that autonomously follows a black line on a white surface. This project involved sensor integration, motor control, and algorithm implementation for path correction.

Implemented a spell checker in C using a Trie data structure for efficient dictionary storage and lookup. The program can suggest corrections for misspelled words, demonstrating a strong understanding of data structures and algorithms.