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@article{177507,
        author = {K.David raju and Diya Gurjar and Vikram},
        title = {Architect data verification and client connection platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5906-5910},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177507},
        abstract = {In today’s data-driven digital landscape,
ensuring robust data integrity and seamless client
connectivity is paramount for organizations handling
sensitive or large-scale information. This paper
presents the conceptual design of an ArchitectDesigned Data Verification and Client Connection Platform aimed at enhancing data accuracy, security, and
real-time collaboration between clients and service
providers. The platform features a multi-layered
verification framework that leverages AI- powered
anomaly detection, blockchain-based immutable audit
trails, and automated data cross-referencing to
rigorously vali- date integrity. This approach ensures
compliance with industry standards while actively
minimizing errors and redundancies in data
processing. To foster efficient client interactions, the
system employs a modular API architecture
supporting real-time authentication, secure file
exchanges, and interactive dashboards for streamlined
communication. Security is further bolstered by
advanced encryption protocols and granular rolebased access control (RBAC), preventing unauthorized
data access while maintaining operational
transparency.},
        keywords = {},
        month = {May},
        }