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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18714289 |
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| _version_ | 1866901586593185792 |
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| author | K B Ranjith Kumar |
| author_facet | K B Ranjith Kumar |
| contents | <p><a title="AI-Powered Unified Management System: A Hybrid Framework for Academic and Industrial Resource Tracking" href="https://github.com/RanjithKumar-kb/AI-Powered-Unified-Management-System-College-Industry-/tree/main">Github Link</a> </p> <p><strong>Abstract</strong></p> <p>Traditional On-Duty (OD), Leave, and Gate Pass protocols in academic and industrial sectors are often hindered by manual processing delays and security vulnerabilities. This paper proposes an AI-Powered Unified Management System (UMS), a hybrid solution designed to streamline administrative oversight and real-time security verification. The system addresses two critical challenges: the high cognitive load on administrators and the prevalence of document forgery.</p> <p>The framework integrates a T5 Transformer model to optimize approval workflows. This architecture performs abstractive, summarization, condensing lengthy justifications into concise, actionable summaries for managers, reducing review time by 65%. For physical security, the system employs a dynamic verification engine. Approved requests generate PDFs embedded with unique, encrypted QR codes. Unlike static passes, these link to a live portal displaying the user’s profile image and real-time authorization status. Automated expiry logic ensures passes are invalidated immediately upon time-limit expiration. Experimental results demonstrate that this hybrid approach bridges the gap between administrative intelligence and physical security, offering a robust, cost-effective advancement in institutional governance and high-fidelity authentication.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18714289 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-Powered Unified Management System: A Hybrid Framework for Academic and Industrial Resource Tracking K B Ranjith Kumar <p><a title="AI-Powered Unified Management System: A Hybrid Framework for Academic and Industrial Resource Tracking" href="https://github.com/RanjithKumar-kb/AI-Powered-Unified-Management-System-College-Industry-/tree/main">Github Link</a> </p> <p><strong>Abstract</strong></p> <p>Traditional On-Duty (OD), Leave, and Gate Pass protocols in academic and industrial sectors are often hindered by manual processing delays and security vulnerabilities. This paper proposes an AI-Powered Unified Management System (UMS), a hybrid solution designed to streamline administrative oversight and real-time security verification. The system addresses two critical challenges: the high cognitive load on administrators and the prevalence of document forgery.</p> <p>The framework integrates a T5 Transformer model to optimize approval workflows. This architecture performs abstractive, summarization, condensing lengthy justifications into concise, actionable summaries for managers, reducing review time by 65%. For physical security, the system employs a dynamic verification engine. Approved requests generate PDFs embedded with unique, encrypted QR codes. Unlike static passes, these link to a live portal displaying the user’s profile image and real-time authorization status. Automated expiry logic ensures passes are invalidated immediately upon time-limit expiration. Experimental results demonstrate that this hybrid approach bridges the gap between administrative intelligence and physical security, offering a robust, cost-effective advancement in institutional governance and high-fidelity authentication.</p> |
| title | AI-Powered Unified Management System: A Hybrid Framework for Academic and Industrial Resource Tracking |
| url | https://doi.org/10.5281/zenodo.18714289 |