International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Intelligent Personalized Career Development and Interview Preparation Platform Using Generative Artificial Intelligence |
|---|---|
| ABSTRACT | Discrepancies between tertiary academic curricula and rapidly shifting industrial competencies present a critical bottleneck for entry-level technical professionals. Many undergraduate candidates find it challenging to systematically evaluate skill gaps, optimize resumes for automated tracking systems, and engage in high-fidelity technical mock interviews. This study presents PathForge AI, an integrated, cloud-native career development framework designed to leverage Generative Artificial Intelligence (GenAI) to deliver personalized career roadmaps, real-time resume refinement, and intelligent interview simulations. Built on a scalable MERN (MongoDB, Express, React, Node.js) architecture, the ecosystem integrates secure Firebase Authentication, cloud-based Firestore persistence, and Google Gemini large language models to ensure dynamic real-time performance. The proposed platform parses unstructured resume data, identifies domain-specific missing competencies, synthesizes highly structured developmental pathways, and administers interactive conversational assessments with automated, multi-dimensional performance feedback. Empirical evaluations indicate that the platform provides responsive, robust handling of real-time queries with significant user engagement across all functional modules. |
| AUTHOR | ABHISHEK AGRAWAL, AKSHAT JAIN, PREET KALRA UG Student, Dept. of CSE, Noida Institute of Engineering and Technology, Greater Noida, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405083 |
| pdf/83_An Intelligent Personalized Career Development and Interview Preparation Platform Using Generative Artificial Intelligence.pdf | |
| KEYWORDS | |
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