Intellectual Property India Publishes Patent Application for 'Spendwise: A Streamlit-Based Personal Expense Analyser' Filed by M. Gunasundhari; A Dharanidhar; J Harish; A B Krish Joyeaal; and G Kumaraguru

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541111264 A) filed by M. Gunasundhari; A Dharanidhar; J Harish; A B Krish Joyeaal; and G Kumaraguru, Coimbatore, Tamil Nadu, on Nov. 14, 2025, for 'spendwise: a streamlit-based personal expense analyser.'

Inventor(s) include M. Gunasundhari; A Dharanidhar; J Harish; A B Krish Joyeaal; and G Kumaraguru.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "This project, titled SPENDWISE: A Streamlit-Based Personal Expense Analyser, introduces an intelligent and automated system for tracking, analyzing, and visualizing personal financial data using an integrated web-based platform. The invention combines a Streamlit-based user interface, a Python-powered analytical layer, and a relational database such as MySQL or SQLite to enable efficient expense management. Users can input, categorize, and monitor their financial transactions in real time through an intuitive interface. The system automatically validates user data, performs computational analysis using the Pandas library, and generates insightful visual reports with Matplotlib and Seaborn. It provides category-wise breakdowns, monthly expenditure summaries, and savings trends to enhance financial awareness. Unlike existing static or manual expense tracking tools, this invention emphasizes automation, real-time synchronization, and secure data handling through encrypted database storage. The platform supports dynamic updates, ensuring that every new transaction immediately reflects in the visual analytics dashboard. Designed for accessibility and scalability, the system can be deployed on Streamlit Cloud for cross-device use. By integrating data processing, visualization, and decision support within a single framework, this project transforms personal expense tracking into a smart, interactive, and data-driven financial management solution."

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