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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63839
Volume:
10 |
5 |
May 2026
Pages:
1-4
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.
Computer Science
Vishwakarma Institute Of Technology
Computer Science
Vishwakarma Institute Of Technology
Computer Science
Vishwakarma Institute Of Technology
Computer Science
Vishwakarma Institute Of Technology
Digital portfolios are increasingly used for academic assessment and professional evaluation. However, many existing implementations lack structured backend processing, performance benchmarking, and measurable system validation. This paper presents the design and performance evaluation of an Advanced Portfolio System (APS) developed using a Python-based backend and responsive HTML frontend. The system incorporates modular content organization, dynamic skill visualization, and optimized request handling. Performance evaluation was conducted on PythonAnywhere free-tier cloud hosting using Time To First Byte (TTFB) and concurrent load testing metrics. Experimental results demonstrate an average server response time of 454 ms and stable handling of 25 concurrent simulated users with zero error rate. The findings validate the efficiency and lightweight architectural design of the proposed system under constrained cloud deployment conditions.
KEYWORDS
This paper presented the design and performance evaluation of an Advanced Portfolio System deployed on shared cloud infrastructure. The system integrates modular backend processing, responsive frontend components, and efficient database interaction. Empirical testing confirmed: · Stable average server response time (454 ms) · Zero-error concurrent request handling (25 users) · Reliable system behavior under shared hosting constraints The APS provides a scalable and lightweight solution suitable for academic and professional digital identity management. Future work may include deployment on dedicated cloud infrastructure and integration of advanced analytics modules.
· M. B. Garcia, “Self-Coded Digital Portfolios as an Authentic Project-Based Learning Assessment in Computing Education: Evidence from a Web Design and Development Course,” Education Sciences, vol. 15, no. 9, 2025. · S. Rama Lingham, A. Rajendran, and G. Dhandayuthabani, “Responsive Portfolio Website Using React,” 2023 2nd International Conference on Futuristic Technologies (INCOFT), 2025. · “Implementation of Digital Portfolio for Vocational Teachers and Digital Skills: A Systematic Literature Review,” International Journal, June 2025. · R. R. Pawar, S. T. Malekar, R. R. Mavkar et al., “MERN Stack-Based Personal Portfolio Generator Website,” International Research Journal of Modernization in Engineering Technology and Science, Nov. 2025. · M. P. Me, “Portfolio For Students: Generate Your Own Portfolio,” International Journal of Engineering Development and Research (IJEDR), Oct. 2025. · S. Pandey, “Exploring Design Strategies for Student Career Portfolios,” Journal of Technical Writing and Communication, 2025. . · L. Bradley et al., “Using an ePortfolio to Help Undergraduate Accountancy Students Support Learning,” Assessment & Evaluation in Higher Education, 2025.
Publication Date
5/23/2026
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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