I have experience in React.js, Flask (Python), HTML, machine learning, deep learning, and reinforcement learning. In my recent projects, I developed a website called Korean Food Detection, which helps users identify the name of Korean foods by taking an image of the food. For this project, I used React.js for the front-end and Flask (Python) for the back-end, implementing a deep learning model with TensorFlow for image recognition. I deployed the website and the deep learning model using AWS Amplify and AWS EC2. Additionally, I worked on a project called Trip Recommendation, where I developed the front-end using React and the back-end using Flask (Python), and also utilized AWS services for deployment. These projects showcase my ability to integrate machine learning models into web applications and deploy them effectively using cloud services.
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Formation
Gwangju Institute of Science and Technology
2023 - 2024
•
1 an
Master's
Korea, Republic of
2023 - 2024
•
1 an
Publications
Abductive Symbolic Solver on Abstraction and Reasoning Corpus
International Joint Conferences on Artificial Intelligence
This paper addresses the challenge of enhancing artificial intelligence reasoning capabilities, focusing on
logicality within the Abstraction and Reasoning Corpus (ARC). Humans solve such visual reasoning
tasks based on their observations and hypotheses, and they can explain their solutions with a proper
reason.
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