International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | FinPilot AI: An AI-Based Personal Finance Management and Advisory System |
|---|---|
| ABSTRACT | The rapid growth of digital payment system, including UPI, credit/debit cards, digital wallets, and online banking, has significantly increased the convenience of financial transactions. However, this advancement has also introduced challenges in personal financial management, as users often struggle to track and manage their expenses across multiple fragmented platforms. Existing financial management applications primarily provide basic expense tracking and static reports, lacking intelligent insights, predictive alerts, and personalized financial guidance, which results in poor financial decision-making and instability. This project aims to develop a smart, unified personal finance management system that addresses these limitations by integrating financial data from multiple sources into a single platform. The proposed system will provide real-time expense tracking, budget management, and monitoring of EMIs, loans, and recurring subscriptions. It will also incorporate intelligent features to generate insights and recommendations that help users control overspending, improve savings habits, and plan their finances effectively. Additionally, the system focuses on enhancing financial awareness and security by offering guidance on financial planning, taxation, and investments, along with real-time alerts for suspicious or fraudulent activities. By combining data integration, intelligent analysis, and security mechanisms, the proposed solution aims to provide a comprehensive and user-friendly platform that enables individuals to achieve better financial platform, informed decision-making, and long-term financial stability. |
| AUTHOR | YUGA KALE, HARSHAD SELOKAR, PARUL GAURKAR, SAHIL SHEIKH, DR. ROSHAN KOTKONDAWAR Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India Assistant Professor, Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407044 |
| pdf/44_FinPilot AI An AI-Based Personal Finance Management and Advisory System.pdf | |
| KEYWORDS | |
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