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@article{163664,
        author = {Aditya Sanjay Kadam and Sejal Dhotre and Dhanashri Dhawale},
        title = {ExpenseXpert: Revolutionizing Expense Management through Machine Learning-Powered Predictive Analysis and Streamlined Tracking },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2438-2445},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163664},
        abstract = {In today's interconnected and dynamic financial landscape, individuals often face challenges in managing personal finances, exacerbated by a lack of financial literacy. This research introduces an innovative solution, "ExpenseXpert" designed to revolutionize the financial management paradigm. The system leverages artificial intelligence (AI) and machine learning (ML) to streamline expense tracking, budgeting, and financial insights, providing users with unprecedented efficiency and accuracy. The system's proactive approach includes notifications to alert users if they exceed their budget, ensuring financial discipline. It goes beyond traditional expense tracking by generating custom budget plans based on spending patterns, offering a unique feature for users to download summaries of their expenses in PDF or Excel formats.},
        keywords = {Personal finance, Personalized budget planner, PDF/Excel Report Download, expense prediction, GPT 3.5, machine learning, NewsAPI, Yfinance, ARIMA model, LSTM model.},
        month = {},
        }