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  Published Paper Details:

  Paper Title

Student Result Automation, Result Management System

  Authors

  Pratik Telkapalliwar,  Dr. Surbhi khare,  Anjali Rao,  Aditya Pathrabe,  Anurag Gupta , Satya Bisen

  Keywords

Academic result automation, student performance analytics, web-based application, Flask framework, MongoDB NoSQL database, automated grade computation, educational data processing, role-based access control, artificial intelligence in education, performance metrics, academic feedback system.

  Abstract


The digital transformation of education demands robust and efficient solutions for managing critical administrative and instructional processes. The traditional, manual management of student academic results is inherently flawed, characterized by time-consuming procedures, a high susceptibility to human error, and significant delays in generating accurate student records and providing timely feedback. Addressing these limitations, this research paper presents the design and implementation of a Student Result Automation Management System (SRAMS), a comprehensive, web-based platform engineered for the dynamic management and sophisticated analysis of student data.The SRAMS is architecturally built upon the lightweight Flask web framework, utilizes a MongoDB NoSQL database for scalable and flexible data storage, and integrates the Google Gemini API to leverage advanced Artificial Intelligence (AI) capabilities. This system transcends conventional methods by incorporating a powerful, spreadsheet-like interface for data entry, coupled with an automated calculation engine that performs complex grading computations in real-time, ensuring immediate accuracy and consistency.The core functionality is segmented to serve both educators and students. For teachers and administrators, the system provides a seamless, unified tool for grade management, automatic report generation, and insightful analysis of class performance trends, significantly reducing manual workload. A key feature is the system's ability to ingest and process academic data from diverse sources with high precision. For students, the system offers a secure, personalized portal to instantly view their results and access an integrated, AI-driven study assistant that provides tailored feedback and support.By automating data handling, complex calculations, and reporting, the SRAMS directly addresses the need for a reliable, efficient, and intelligent result management solution. Its su-ccessful implementation demonstrates a significant stride towards optimizing educational administration, enhancing data integrity, and improving the feedback loop between educators and students, thereby setting a new standard for modern academic record-keeping.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2601047

  Paper ID - 299769

  Page Number(s) - a362-a368

  Pubished in - Volume 14 | Issue 1 | January 2026

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pratik Telkapalliwar,  Dr. Surbhi khare,  Anjali Rao,  Aditya Pathrabe,  Anurag Gupta , Satya Bisen,   "Student Result Automation, Result Management System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 1, pp.a362-a368, January 2026, Available at :http://www.ijcrt.org/papers/IJCRT2601047.pdf

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Call For Paper February 2026
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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