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 | CareerAI: An Intelligent Career Guidance Platform Leveraging AI, ML and NLP |
|---|---|
| ABSTRACT | CareerAI is an AI-driven career guidance platform that bridges the gap between academic learning and industry demands. It uses machine learning and natural language processing to match resumes with job descriptions (via TF-IDF and cosine similarity) and compute a Job Readiness Score. The system includes an ATS-friendly resume builder, a career guidance chatbot, a job recommendation engine, and text-to-speech support for accessibility. In a pilot study with 100 users, CareerAI increased the average resume score from 48% to 76%, significantly improving ATS compatibility. These results demonstrate CareerAI’s potential to personalize career advice and enhance resume quality. |
| AUTHOR | REDDY NARESH, DR. T. V. S. SRIRAM PG Student, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology (NSRIT), Visakhapatnam, Andhra Pradesh, India Professor & HOD, Dept. of MCA, Nadimpalli Satyanarayana Raju Institute of Technology (NSRIT), Visakhapatnam, Andhra Pradesh, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407040 |
| pdf/40_CareerAI An Intelligent Career Guidance Platform Leveraging AI, ML and NLP.pdf | |
| KEYWORDS | |
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