Computer Engineering student at IOE, Tribhuvan University. I build AI, computer vision, and backend systems — from real-time detection models to full-stack ML apps. Open to AI/ML and software engineering internships.
I'm Aaditya Kumar Singh, a Computer Engineering student at IOE, Tribhuvan University. I like building practical AI/ML systems — the kind that leave the notebook and run against real inputs. Most of my work sits at the intersection of machine learning, computer vision, and backend development.
I learn by building. My projects range from a real-time fruit freshness detector to a breast cancer prediction service with a proper API and frontend, to an AES-based image steganography tool. Alongside the technical side, I co-chair club administration at the Rotaract Club of Kathmandu, which has sharpened how I plan, coordinate, and work with a team.
A computer vision system that classifies fruit freshness in real time, combining YOLOv8 for detection with a MobileNetV3 classifier for lightweight, on-device inference.
An end-to-end ML app: a Random Forest model served through a FastAPI backend with a React frontend, so predictions are usable through a real interface, not just a script.
A tool for secure communication that hides AES-encrypted messages inside images, pairing cryptography with steganography so data is both concealed and protected.