BlooM: AI-Based Financial Literacy Simulator

🏦 BlooM: AI-Based Financial Literacy Simulator

Team Project | Jan 2025 – Feb 2025

• Designed an AI-driven simulation platform for financial literacy training, targeting young users with data-driven scenarios.
• Implemented a stock prediction model using XGBoost, incorporating real-time meteorological and agricultural datasets to model external market factors.
• Engineered volatility simulation algorithms (stochastic price noise, shock events, rounding rules) to approximate real-world financial fluctuations.
• Applied time-series preprocessing techniques (interpolation, normalization, feature engineering) with Pandas and NumPy.
• Evaluated predictive performance through cross-validation and scenario-based testing, ensuring model robustness.
• Highlighted the role of AI and real-world signals in enhancing financial education through applied machine learning.
  
  

🔗 GitHub Repository - About Platform

🔗 GitHub Repository - About AI Model

👥 Team 「BlooM」 Members

• JeongMin Lim — AI Engineer
• GyuMin Kim — Project Manager
• DaeMin Kim — Backend Engineer
• HaYoung Kim — Frontend Developer
• SungHo Cho — Backend Engineer, Infrastructure
• SeulAh Choi — UX/UI Designer