An assistive communication and intruder warning system designed for people with disabilities. It leverages computer vision and deep learning to analyze the environment in real-time, providing both safety and interaction capabilities.

An automated student attendance platform using facial recognition. It processes real-time camera feeds and manages databases to log student entries securely and efficiently.

Designed a 5-stage pipelined RISC-V processor architecture from scratch. Handled complex data and control hazards, and verified the core functionalities through extensive simulation.

An e-commerce platform featuring an integrated Retrieval-Augmented Generation (RAG) assistant. The AI helps users query product catalogs naturally, improving search accuracy and user experience.