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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: AI POWERED PERSONAL FINANCE AND WEALTH ADVISOR
Authors Name: Devraj Tipugade , Uttaresh Swami , Sairaj Sawake , Aryan Patil
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IJRTI_211061
Published Paper Id: IJRTI2604101
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: The rapid growth of digital payment systems like UPI, debit and credit cards, and online banking has significantly increased the number of financial transactions every day. However, users still struggle to track and manage their expenses efficiently. They face challenges due to disorganized bank SMS notifications and a lack of smart financial analysis tools. FinCortex is a personal finance and wealth advisor app powered by AI, designed to automate expense tracking through SMS transaction detection. The system pulls out essential financial details such as transaction amount, merchant name, date, and transaction type directly from bank SMS messages and sorts them using smart logic and machine learning techniques. The app includes a secure authentication system with passcode and fingerprint login. It uses Firebase cloud database support for safe and scalable data storage. FinCortex offers real-time dashboard analytics, smart budget monitoring, spending pattern analysis, and personalized financial insights to boost user awareness and financial discipline. By removing manual expense entry and providing automated categorization and predictive insights, the system improves financial decision-making and simplifies personal financial management. This solution shows how artificial intelligence, cloud computing, and mobile app development can come together in today's financial technology systems.
Keywords: Artificial Intelligence (AI), Financial Technology (FinTech), Expense Tracking System, SMS Transaction Detection, Firebase Cloud Database, Machine Learning (ML), Budget Monitoring, Financial Analytics, Spending Pattern Analysis, Firebase Firestore, Real-Time Dashboard Analytics, Node.js Backend Architecture.
Cite Article: " AI POWERED PERSONAL FINANCE AND WEALTH ADVISOR ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a711-a719, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604101.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604101
Registration ID:211061
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a711-a719
Country: Kolhapur, Maharashtra, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604101
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604101
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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