π¦ BlooM: AI-Based Financial Literacy Simulator
π¦ BlooM: AI-Based Financial Literacy Simulator
Team Project for 2025 Root Impact X Google.org Hackathon | Jan 2025 β 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.
π GitHub Repository - About Platform
π GitHub Repository - About AI Model
π₯ Team γBlooMγ Members
- JeongMin Lim β AI Engineer
- GyuMin Kim β Project Manager
- DaeMin Kim β Backend Engineer
- HaYoung Kim β Frontend Developer
- SungHo Cho β Backend Engineer, Infrastructure
- SeulAh Choi β UX/UI Designer
