Abstract:
Personal finance management has been complicated by income instability, increasing cost of
living, and extensive financial illiteracy. Existing financial management tools offer limited support
to personal predicting and anticipatory decision-making due to their being mostly driven by static
monitoring of information and rule-based budgeting. Smart Saver is an intelligent personal
financing tool that uses machine learning to provide users predictive insights, target-oriented
savings recommendations, and adaptive financial advice. Unlike the existing solutions Smart Saver
is different because it uses category-based forecasting models on both income and spending to
provide closer predictions that are individually adjusted to personal money behavior. Smart Saver
modular architecture integrating data preprocessing, training of models, tracking of user
interactions, and feedback loops. Tested by functional and non-functional requirements from
accuracy to usability and performance. The research contributes to financial technology by
highlighting the potential of machine learning to turn raw money information to empowering and
beneficial use to users, and especially those with limited finance planning skills.
