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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54842
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
4/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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