Kwak Do Young

Developer Exploring Web Usability & Artificial Intelligence

Aspiring Frontend Developer building web applications with Next.js and TypeScript,
focusing on responsive design and delivering intuitive UI/UX experiences.

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Visit GitHub

Programming Study

Studied algorithmic problem-solving using Python and C through Baekjoon Online Judge.
Solutions and codes are archived on GitHub.

Github Solved.ac

Project - extension

YouTube Convenience Extension

Developed a Chrome extension to improve the YouTube viewing experience by solving daily inconveniences. Reached over 8,000 visitors and 600 active users.

Auto-adjusts video quality
One-click Picture-in-Picture (PIP) mode
Auto-skip for YouTube Shorts ads

Tech Stack:

html, css, js

Store extension GitHub

Clicker Game Extension

Developed a Chrome extension to help users pass time and reduce boredom during their free moments. Achieved over 2,000 visits and 200 active users.

Obtain coconuts with simple clicks
Simple gacha game using coconuts
Coconut stock system

Tech Stack:

html, css, js

Store extension GitHub

Project - Web

CoCoNuT Official Website

This website was developed to share development and update news about our projects,
as well as to introduce our projects and present our portfolio.

Next.js
TypeScript
Tailwind CSS

Website Github

Project - Competition

2nd Naver OGQ Competition

Achieved a perfect performance score in a computer vision competition focused on image upscaling by fine-tuning the EDSR (Enhanced Deep Super-Resolution) model, optimizing it for high-quality image reconstruction and super-resolution tasks.

Pytorch
CV(Computer Vision)
Image upscaling

Tech Stack:

Pytorch

news GitHub

3rd Naver OGQ Competition

Participated in a computer vision object detection competition by designing and implementing a novel pipeline that integrates ActionCLIP with YOLOv12, enabling improved contextual understanding and object detection performance.

ActionClip
YOLOv12
Computer Vision
Object Detection

Tech Stack:

Pytorch

news GitHub

Real-Time Translation Application

Developed during an AI hackathon — a program that translates spoken language into Korean in real time.
Built using Python, OpenCV, MediaPipe, and SpeechRecognition.

Python
OpenCV
MediaPipe
SpeechRecognition

Github

Awards

Winner of the 2nd Naver OGQ Competition

Achieved a perfect performance score in a computer vision competition focused on image upscaling
by fine-tuning the EDSR (Enhanced Deep Super-Resolution) model,
optimizing it for high-quality image reconstruction and super-resolution tasks.

Python
PyTorch
EDSR (Enhanced Deep Super-Resolution Network)
Image Processing Techniques

Github

Runner-up of the 3rd Naver OGQ Competition

Participated in a computer vision object detection competition
by designing and implementing a novel pipeline that integrates ActionCLIP with YOLOv12,
enabling improved contextual understanding and object detection performance,
ultimately achieving second place in the competition.

Python
PyTorch
EDSR (Enhanced Deep Super-Resolution Network)
Image Processing Techniques

Github