Real-Time Expense Tracking and Financial Forecasting Through AI and Machine Learning
Abstract - In the modern financial landscape, predictive analytics and machine learning are revolutionizing personal finance management. This paper explores various machine learning techniques, including deep learning and reinforcement learning, applied to personal finance such as expense tracking, budgeting, and financial forecasting. We review significant advancements in predictive models, real-time tracking systems, and anomaly detection for personal finance. The research incorporates multiple contributions from recent studies on the application of AI and machine learning for smarter financial decision-making, automation in expense categorization, and the enhancement of budgeting systems. Key Words: Predictive analytics, machine learning, personal finance, budgeting, expense tracking, deep learning, AI in finance.
Authors
- Neha Kulshrestha
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-05-26
- DOI
- https://doi.org/10.55041/ijsrem48759
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00