Real-Time Sign Language Detector Using OpenCV & MediaPipe

This was my first team project as a Computer Science student. We built a real-time sign language detection system that uses a webcam to capture hand gestures and classify them into basic sign-language categories. Tech Stack we used # Python OpenCV MediaPipe scikit-learn The project was structured into four seperate python programs: collect_imgs.py – Capture 100 images per gesture class create_dataset.py – Label and organize the dataset train_classifier.py – Extract features and train a simple ML model inference_classifier.

Y86 Disassembler

One of the first modules we took during my first year was a Computer Organisation and Architecture module where we explored how computers work on the low-level. To put everything we learnt into practice, we built a Y86 Disassembler in C. The mini-project was split into three objectives: Decode opcodes to mnemonics, Parse operands and registers from instructions, Disassemble full Y86 Programs from raw bytecode. By the time I finished all three tasks I gained deeper appreciation for how things run on the machine level, you can check the project out here :)