• M Sadhamail
• Ananya C
• Charitha T
• Namrath Rao Bedre
• Rakesh KM

AI Career Hub is an intelligent job search and career development system that leverages advanced Natural Language Processing to increase the relevance and effectiveness of job recommendations. The platform uses Sentence-BERT embeddings and cosine similarity to overcome the limitations of traditional keyword-based retrieval by tapping into the semantic understanding of job descriptions and candidate profiles. Integrated with real-time job APIs, the system continuously updates job listings while supporting personalized career development through AI-generated interview questions, role-specific preparation, resume analysis, and application tracking. The architecture follows a modular, scalable design, with clear separation of concerns across semantic matching, document parsing, recommendation ranking, and user interaction. Frontend access is provided through a responsive Web interface that provides easy access, while the backend supports secure user management and efficient execution of AI-driven queries. This structure provides both reproducibility for research and adaptability for real-world deployment. Experimental observations reveal that semantic matching with Sentence-BERT improves recommendation relevance and personalized interview preparation raises user engagement and readiness. In summary, AI Career Hub stands out as a holistic and efficient approach to AI-driven career services that integrate semantic retrieval, live job data, and personalized skill development in order to support job seekers in dynamic employment environments.

Semantic Matching, Sentence-BERT, Job Recommendation, NLP, AI Career Services, Interview Preparation

"An AI-Integrated SBERT-NLP Framework for Job–Internship Recommendation and Interview Question Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.a84-a96, February-2026, Available :http://www.jetir.org/papers/JETIR2602011.pdf

"An AI-Integrated SBERT-NLP Framework for Job–Internship Recommendation and Interview Question Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppa84-a96, February-2026, Available at : http://www.jetir.org/papers/JETIR2602011.pdf