AIFinance
When AI meets deterministic problems
A finance app with AI-powered payoff suggestions. The project started as an exploration of applying AI to personal finance — debt payoff strategies, savings optimization, investment suggestions. The key insight: finance is fundamentally rule-based, making deterministic logic more appropriate than AI for most calculations. When everything is dynamically shifting, it becomes hard to predict and therefore hard to understand and implement impact with AI. The calculations that drive financial decisions are better defined in a deterministic manner. This ended up being a valuable study in knowing when not to use AI.
AI Payoff Suggestions
Machine learning models analyze debt portfolios and suggest optimal payoff strategies. Compares avalanche vs snowball methods with personalized recommendations.
Financial Tracking
Comprehensive dashboard for tracking income, expenses, debts, and savings goals. Real-time updates as financial data changes.
Deterministic Engine
Rule-based calculation engine that handles the mathematical certainties of finance — interest calculations, amortization schedules, payoff projections — with precision AI can't match.
Key Insight
The most valuable outcome was understanding when AI adds value vs. when deterministic logic is the right tool. Finance proved that not every problem needs machine learning.