Srms-ai: Student Result Management System With Role Based Access Control And Ai Integration

• Author(s):

  Mr. G. Vadivel Murugan | M. R. Kamalesh | K. Dharun | R. Kumar

• Keywords:

  WebAuthn, FIDO2, MERN Stack, SGPA/CGPA Analytics, Role-Based Access Control, Scholastic ERP, React.js, Educational Management Systems.

• Abstract:

  The Rapid Digitalization Of Academic Administration Has Become A Cornerstone Of High-performance Educational Institutions Worldwide. Traditional Manual Result Processing And Resource Management Systems Are Frequently Plagued By Mathematical Discrepancies, Security Vulnerabilities, And Delayed Feedback Loops That Hinder Institutional Efficiency. This Paper Presents SRMS-Ai, A Comprehensive Student Result Management System Designed To Bridge The Critical Gap Between Administrative Oversight And Student Accessibility. Built On The MERN Stack—MongoDB, Express.js, React.js, And Node.js—the System Integrates Advanced Security Through FIDO2/WebAuthn Biometric Authentication And Real-time Academic Performance Tracking Based On Anna University R-2021 Regulations. The Proposed Solution Employs A Robust Role-Based Access Control (RBAC) Mechanism To Facilitate Cross-departmental Collaboration Among Four Primary User Categories: Administrators, Heads Of Department (HODs), Faculty, And Students. Each Role Is Assigned Distinct Permissions And Workflows To Ensure Data Integrity And Operational Clarity. Preliminary Evaluations Indicate A Significant Reduction In Administrative Overhead, An Elimination Of Manual GPA Calculation Errors, And A Marked Increase In Data Integrity For High-stakes Academic Records. The System's Mobile-first Design Ensures Accessibility Across A Wide Range Of Devices, Addressing A Critical Gap In Existing Legacy Portals.

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Other Details

• Paper id:

  IJSARTV12I3104759

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-22

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