π Undergraduate Student at SeoulTech (ITM Major)
π‘ Focused on Computer Vision and Machine Learning
π Exploring real-world ML applications in animal behavior analysis
| Reading Notes in Korean | Research Notes in Korean | Computer Vision Study in Korean |
|---|
π Featured Projects
π¦ BMOD: Be MOre Duck
Type: Embodied AI / Animal Behaviour Observation Agent
Description: A Raspberry Pi-based lightweight embodied agent that observes duck behaviour from video, extracts visual embeddings with CLIP ViT-B/32, classifies 5-second behaviour segments using scikit-learn, reacts to behaviour transitions, and generates session-level behaviour reports.
π¦ Wildlife Vision
Type: Computer Vision / Wildlife Image Classification Baseline
Description: A site-generalized wildlife classifier for camera-trap images. It extracts HOG-based visual features, trains probabilistic scikit-learn classifiers, and evaluates generalization with GroupKFold by camera site to avoid overly optimistic random-split evaluation.
| Certification | Issued by | Description (EN) |
|---|---|---|
| ADsP (Advanced Data Analytics Semi-Professional) | Korea Data Agency | Validates foundational knowledge of data understanding, analytics planning, and practical data analysis. |
| SQLD (SQL Developer) | Korea Data Agency | Demonstrates competence in data modeling, SQL-based data manipulation, and structured data extraction. |
| AICE Associate (AI Certificate for Everyone) | KT & Korea Economic Daily | Validates hands-on skills in Python-based data processing, analysis, and AI modeling through a practical examination. |
| Microsoft Certified: Azure AI Fundamentals | Microsoft | Validates foundational knowledge of machine learning, computer vision, NLP, generative AI, and Azure AI services. |
