Published on: April 2026
AI-BASED SKILL GAP ANALYZER
J. Nagasai Reddy C. Muniteja P. Varun K. Udai Rathod
V. Pavan Kumar
Article Status
Available Documents
Abstract
Career guidance is a critical challenge for students in today's competitive job market. Many students lack awareness of the specific skill requirements for their desired career roles. The AI-Based Skill Gap Analyzer is a rule-based web application that addresses this challenge by comparing student-entered skills with predefined industry requirements for selected career roles. The system collects student details such as skills, projects, education, and career interests, and uses decision logic to identify missing skills and calculate a skill match percentage. It generates a personalized skill gap report with a readiness level and a learning roadmap, helping students plan their professional development effectively. The system is developed using Python, Flask, HTML/CSS/JavaScript, and SQLite, making it lightweight, transparent, and easy to deploy in academic institutions.
How to Cite this Paper
Reddy, J. N., Muniteja, C., Varun, P. & Rathod, K. U. (2026). AI-Based Skill Gap Analyzer. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.167
Reddy, J., et al.. "AI-Based Skill Gap Analyzer." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.167.
Reddy, J.,C. Muniteja,P. Varun, and K. Rathod. "AI-Based Skill Gap Analyzer." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.167.
Search & Index
References
- Jacob, T., & Noor Ahamed, J. (2026). AI-Based Predictive Skill Gap Analysis for Workforce Planning using Probabilistic Growth Modeling and Intelligent Skill Synthesis. International Journal of Workforce Analytics.
- Braun, G., Raty, P., Bokinge, M., & Rikala, P. (2025). The Skill Bridge – A Global Qualitative Analysis of Skill Gap Management. Qualitative Research in Education Studies.
- Tabassum, Z., Zeba, S., Safiuddin, M., Irfan, M., Ajmal, F., & Khan, A. (2025). An AI-Powered Semantic Resume and Skill-Gap Analyzer for College Graduates using Transformer-Based Matching and Skill Recommendation. International Journal of Artificial Intelligence Applications.
- Ajibodu, F. A., & Ojoo, B. A. (2024). A Model Approach Solution to Solving Skill Gap Between Tertiary Institutions and Industry. Journal of Artificial Intelligence and Data Science.
- Kumar, R., & Verma, P. (2024). AI-Based Job Recommendation and Skill Gap Identification System. International Journal of Computer Science and Engineering Research.
- Gupta, S., & Sharma, R. (2023). Machine Learning Based Skill Gap Analysis for Career Development. International Journal of Advanced Research in Computer Science and Applications.
- Smith, J., & Wang, L. (2022). Intelligent Skill Gap Detection System using Machine Learning and Data Mining. Journal of Artificial Intelligence and Data Science.
- Uribe, S., Hernandez-Penaloza, G., Belmonte Hernandez, A., & Martin Gutierrez, D. (2022). Skill Matching for Migrant Guidance Based on AI Tools. Springer Lecture Notes in Computer Science.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 09 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.