Smart Skill-Gap Analyzer for Students: An Intelligent Web-Based Platform for Personalized Career Readiness
Dixsan, S R and Bhuvaneshwar, V and Eswar, G D and Sharmila, K. (2026) Smart Skill-Gap Analyzer for Students: An Intelligent Web-Based Platform for Personalized Career Readiness. International Open-Access, Double-Blind, Peer-Reviewed, Refereed, Multidisciplinary Online Journal, 6. pp. 397-401. ISSN 2581-9429
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Abstract
The Smart Skill-Gap Analyzer for Students is a web-based intelligent system designed to help
students identify the gap between their current skill sets and the skills required for their desired job roles
or academic goals. Using a structured assessment framework, the system evaluates a student's existing
competencies across technical and soft-skill domains and compares these against industry-standard job
profiles or academic benchmarks to generate a personalized skill-gap report. The platform provides
tailored learning recommendations, resource suggestions, and a clear roadmap for skill development,
empowering students to make informed decisions about their academic and career journey. Built using
Python and Django for the backend, with an intuitive HTML5/CSS3/Bootstrap frontend and a robust
SQL database, the system bridges the gap between education and employability in an increasingly
competitive landscape. Evaluation indicates that 85% of students can clearly identify skill gaps aligned
with job requirements, while personalised recommendations are generated for every unique student
profile.
| Item Type: | Article |
|---|---|
| Subjects: | Computer Science Engineering > Artificial Intelligence |
| Domains: | Computer Science |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 19 May 2026 17:42 |
| Last Modified: | 20 May 2026 11:37 |
| URI: | https://ir.vistas.ac.in/id/eprint/20419 |

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