I’m Jongin Jun. I am a 4th year CS Major whose concentrations are Artificial Intelligence and Information & Networking. I am passionate about building useful applications involving powerful AI tools, such as Computer Vision and Generative AI models.
Trained Stable Diffusion model with my own Low-Rank Adaptation (LoRA) of Large Language Models to generate realistic images for the fashion industry using AI. Trained the LoRA with images from widely known clothing brands, such as Zara, Uniqlo, and SHEIN. My LoRA model has received 51 downloads from CivitAI, an open-source GenAI community.
An interactive iOS app, built with Swift and Vision, Apple's Computer Vision framework. It detects hand gestures from the device camera and converts them into Morse code. Collaborated with 6 colleagues in bi-weekly sprints to ensure consistent progress in development, and ultimately published the mobile-app on the AppStore.
A cross-platform mobile app, built with Flutter and Google's ML Kit for Computer Vision. It is designed to prevent severe injuries during workouts by analyzing human poses through landmarks of joints. This project was honored with Republic of Korea Air Force (ROKAF) Chief of Staff Award.