5 Years Impact Factor: 1.53
Author: Adapala Gahana Sree , Meduri Kalyan , Karri Uma Naga Vara Prasad Reddy , Dr. Gowtham Mamidisetti
Abstract:
Personal finance management is becoming increasingly important as individuals face complex spending patterns and uncertain economic conditions. According to a survey by the U.S. Federal Reserve, 36% of Americans have less than $1,000 in savings, and 50% of adults find it difficult to manage their monthly expenses. Existing manual budgeting techniques fail to provide accurate, long-term insights into future savings and spending behavior. In this work, we propose a Personal Finance Analyzer that leverages artificial intelligence (AI) to predict future savings and spending patterns for individuals. The proposed system employs advanced preprocessing techniques like data normalization, feature selection to enhance prediction accuracy. A deep learning-based regressor is used to forecast future trends, capturing dynamic relationships between income, spending, and savings patterns. Using the "Personal Finance Data" dataset, with the target column being "future_savings," this model prov
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