Web3 App using React, Node.js & Solidity to secure drug supply chains; awarded Best Project at college and published in IJEECS (2024) for its impact on combating counterfeit drugs.

Developed a QR-based system to simplify hospital admissions by bypassing manual registration steps. Built using Python, Tkinter, OpenCV, and SQLite for fast and efficient patient intake.

Built a modular assistant prototype with wake word detection (Porcupine), speech-to-text (Whisper), text-to-speech (Edge TTS), and LLM-based response generation (Groq Mixtral via LangChain), and session-based memory.