AI-Powered Financial Health Assessment System — FinHealth

This presentation introduces FinHealth, an AI-powered financial health assessment system designed to help individuals understand and improve their financial well-being. The system provides a single composite score from 0 to 100 that summarizes liquidity, debt load, savings, spending patterns, and credit health. Machine learning models are used to identify early signs of financial instability and estimate the near-term risk of delinquency or cash shortfall. The presentation also covers personalized recommendations such as budget adjustments, emergency fund targets, and savings patterns ranked by potential impact. Key objectives include reducing financial risk, delivering an interpretable score, improving financial stability, and predicting problems early. Core features include an AI-based risk prediction engine, personalized improvement recommendations, budget analysis, emergency fund evaluation, and an interactive visualization dashboard. The presentation includes a literature review, use case diagram, sequence diagram code, and references to relevant IEEE and Springer publications. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy