KweonHo Park

OSU Computer Science - AI Focus Undergraduate student who always tries to work perfectly with responsibility for what is given. With three years of coding experience, adaptivity to work with a wide range of tasks and devote to improving own skills.

• 2023-2024 - LIKELION (Tech Entrepreneurship Community)
• 2019-Present - Oregon State University
• 2016-2018 - Republic of Korea Army
• 2015-2016 - Doowon University of Technology

• Lunch recommendation algorithm: This application enhances its recommendation accuracy by combining Naive Bayes and K-Nearest Neighbors (KNN) algorithms through ensemble learning. Users complete a nine-question survey to initialize personalized predictions, which are further refined through their interactions on the 'Cook' page. User activity is recorded in a MongoDB database, enabling the system to adapt dynamically to individual preferences. By storing each user’s data separately, the app ensures personalized, secure, and increasingly tailored recipe suggestions.
• Stock news: Use React and Flask to get news related to stocks. You can check the news you want by date and search for news with keywords.
• Game Rate Database: Cooperate with my project partner/classmate to build a database storing information on games, rates, customers, and manufacturer; simulate a game rating site needs a system upgrade in the tracking system
• Pepper Robot Programming for Meditation Retreat: Designed interactive robot behaviors using Choregraphe, integrating voice guidance, animations, and user interaction for an immersive meditation experience. Developed custom AI-driven scripts to enable Pepper to conduct guided meditation, facilitate group discussions, and perform synchronized movements.