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@article{186370,
        author = {Shubham Dashore and Suhani Sisodiya and Sankalp Hardiya and Uday Kushwah and Urvashi Sharma and Yuvraj Jain and Kamal K Sethi},
        title = {FinSight AI: AI Powered Personal Finance Management Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1370-1376},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186370},
        abstract = {Personal finance management is often hindered by fragmented tools, manual record-keeping, and limited analytical support. It introduces Fin Sight AI, an intelligent personal finance management platform that integrates expense tracking, budgeting, and AI-driven insights within a unified system. The platform enables users to allocate monthly budgets, record expenses manually, and leverage receipt scanning using Optical Character Recognition (OCR) and natural language processing to automate transaction entry and categorization. Built with a modern full-stack architecture—featuring Next.js and React for the frontend, Supa base PostgreSQL with Prisma ORM for secure data management, and cloud deployment via Vercel—the system emphasizes scalability, performance, and user experience. Key integrations include Clerk for authentication, Arc jet for security, and Ingest for background task automation. Users gain access to multi-account management, category-wise budget allocations, real-time utilization alerts, and an interactive analytics dashboard. Additionally, the system generates AI-powered monthly reports and predictive insights to guide financial decisions},
        keywords = {Finance Management, Expense Tracking,  Artificial Intelligence, Optical Character Recognition (OCR)},
        month = {November},
        }