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@article{178954,
        author = {Mrs. Shilpa Mathur and Yash Vishwakarma and Arin Yadav and Krishna Yadav},
        title = {FileTrace: Centralized Document Management System Using Advanced ML Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6403-6411},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178954},
        abstract = {Efficient document management has become a cornerstone for modern organizations dealing with vast and heterogeneous file repositories. FileTrace introduces an advanced, web-based Document Management System (DMS) engineered to streamline document upload, retrieval, categorization, and organization. By integrating Gemini, a state-of-the-art AI-powered Optical Character Recognition (OCR) engine, along with robust machine learning (ML) algorithms, FileTrace significantly improves metadata extraction, semantic search, and document classification with superior accuracy and contextual understanding.
Built on modern web technologies including Next.js, React, and Firebase, and secured through firebase role-based authentication services, FileTrace delivers a seamless, scalable, and cloud-native solution for intelligent document processing. This paper explores the system's architecture, key technological components, and the measurable impact of its AI-enhanced design on workflow efficiency, search relevance, and system scalability.},
        keywords = {Document Management System (DMS), Gemini OCR, Machine Learning, Cloud Storage, Metadata Extraction, Semantic Search, Automation, Scalability},
        month = {November},
        }