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 | Unified Career Platform |
|---|---|
| ABSTRACT | In today’s recruitment environment, students often navigate a fragmented landscape of disconnected platforms for placement preparation, relying on separate tools for resume building, aptitude practice, coding challenges, and interview simulation. This disjointed approach hinders progress tracking, consistency, and personalized guidance. To bridge this gap, this paper proposes the Unified Career Platform (UCP), an AI-driven, end-to-end career preparation ecosystem that consolidates all essential training components. The platform features an Application Tracking System (ATS)-optimized resume builder integrated with Natural Language Processing (NLP) models that dynamically extract skills to generate interview questions. Furthermore, cutting-edge adaptive learning mechanisms alter the difficulty of aptitude, coding, and quiz modules in real-time based on user performance. Audio/video responses in Technical and HR interview simulations are evaluated for clarity, sentiment, and accuracy, providing users with objective, structured feedback. By offering a continuous feedback loop that tracks progress and personalizes subsequent practice sessions, UCP offers an efficient, focused, and data-driven learning workflow aligned with real-world recruitment standards. |
| AUTHOR | SYED ARSHAD ALI, HENAN TAHIR MIR, BURKA GANGA REDDY, S. RENUKA, G. NAGIREDDY Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Gandipet, India Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Gandipet, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405010 |
| pdf/10_Unified Career Platform.pdf | |
| KEYWORDS | |
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