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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54842

AI-Powered Student Evaluation and Performance Tracking System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54842

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54842

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

D

Dr.K.E.Kannammal

SSS

Sharveshwaran S S

SAC

Soorya Akilesh C

SR

Sudhir R

VP

Viswanathan P

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Abstract

The AI-Powered Student Evaluation and Performance Tracking System is an intelligent academic assessment platform designed to enhance learning outcomes by integrating automated evaluation, real-time analytics, and modern web technologies. It streamlines teacher–student interaction, test creation, and performance monitoring while reducing manual workload and subjective grading. The system is built using a robust technology stack consisting of React.js, Express.js, PostgreSQL, and the Ollama Llama 3.2 LLM, ensuring secure data handling, scalable processing, and efficient assessment workflows. Through AI-driven evaluation, the platform analyzes accuracy, conceptual understanding, clarity, and reasoning depth, offering instant feedback and personalized improvement suggestions. With interactive dashboards for teachers and students, voice-enabled assessments, and real-time performance insights, this system serves as a transformative tool for modern educational institutions seeking data-driven, unbiased, and efficient evaluation processes.

KEYWORDS

Academic management student tracker real-time insights personalized feedback attendance tracking assignment management education technology.

Cite This Article

Dr.K.E.Kannammal, Sharveshwaran S S, Soorya Akilesh C, Sudhir R, Viswanathan P, "AI-Powered Student Evaluation and Performance Tracking System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54842

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Publication Date

4/11/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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3

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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