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@article{177400,
        author = {Abdul Kalam and Tushar Tyagi and Shivang Pandey and Uditya Sengar and Manav Garg},
        title = {Wallet Watch : An Expense Tracker Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {716-720},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177400},
        abstract = {This work introduces the creation of an expense tracker based on Flask that eases money management through processing of CSV transaction files. The system enables users to upload bank statements and automatically extract and categorize expenses with dynamic and manual mappings. It detects income and expenses, normalizes payee names, and summarizes spending habits for improved financial analysis. The application maintains data integrity by addressing several file discrepancies and errors. This book brings into perspective the efficacy of automation for personal finance management, presenting an scalable and simple way to manage expenses.
Moreover, the tracker improves user experience through the provision of an organized summary of financial transactions, enabling individuals and companies to make informed choices. Data validation methods integrated into the system ensure that the information is accurate, and real-time processing enhances efficiency. This piece of work emphasizes automation in tracking personal finance, with a scalable and easy-to-use method of expense management.
In addition, this expense tracker promotes greater financial transparency through the presentation of users with a user- friendly interface to track and analyze their spending. Through the automation of data extraction and categorization, it saves time and minimizes the risk of errors. The system's flexibility supports easy integration with multiple financial sources, making it a flexible tool for both personal and business use},
        keywords = {Expense Tracker, Flask, CSV Processing, Financial Management, Automation, Data Integrity, Expense Categorization, Real-time Processing, Personal Finance, Data Validation},
        month = {May},
        }