🏙️ Clustering Analysis of Solitary Death Risk among Single-Person Households in Seoul, Korea
Analyzed Seoul’s single-person household data to identify risk clusters related to solitary deaths using data visualization and unsupervised learning.
Analyzed Seoul’s single-person household data to identify risk clusters related to solitary deaths using data visualization and unsupervised learning.
Developed an alternative credit scoring model that integrates everyday ESG practices of small businesses, addressing the financial blind spots of micro-enterprises. Selected as a National Finalist & Awardee at the 2025 FIN:NECT Challenge.
Developed a sustainable distribution platform for B-grade (imperfect) agricultural products in Jeonbuk, reducing food waste and supporting local farmers. Awarded Excellence Prize at the 2025 Jeonbuk Public Data Startup Competition.
AI-driven maternity hospital recommendation service addressing low birth rate and medical accessibility issues in Chungbuk Province.
Built an AI-powered simulator that integrates real-time data (weather & harvest) with financial modeling to train financial literacy. Focused on predictive modeling and volatility simulation.
Developed an AI-powered diary service that performs emotion classification and summarization on daily journals to support socially vulnerable groups. Integrated KoBERT and KoBART models for sentiment analysis and summarization, deployed via a mobile app prototype.