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@article{196802,
        author = {Aastha Murmare and Dr. Nita Thakare and Dikshika Nandanwar and Sanika Mandlekar and Sanchi Muneshwar and Devesh Rahangdale},
        title = {Smart Expense Tracker},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6206-6209},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196802},
        abstract = {Managing personal finances in daily life is a vital yet often neglected aspect of our life. Individuals perform number of transactions daily for food, travel, shopping, etc yet most fails to track their expenses. The Smart Expense Tracker is an intelligent web-based system designed to simplify personal management through advance Machine Learning and AI. This technique helps users in analyzing spending behaviour. generating visual dashboards, budget alerts.
The backend is powered by Python (Flask), utilizing pandas for efficient data processing and analysis. 
System leverages MySQL database for secure data storage. The model supports cloud storage and ensures data accessibility and synchronization across various devices. This project aims to simplify personal finance management improving one’s decision making through real -time analytics. This reates a simple and smart system to manage their money in easier way.},
        keywords = {Expense Tracking, Machine Learning, Financial Management, Budget Alerts, Data Visualization, Flask, AI Automation.},
        month = {April},
        }