The rapid advancement of Artificial Intelligence (AI) and Natural Language Processing (NLP) has significantly transformed digital advisory systems, particularly in education and career development domains. Traditional career counseling approaches suffer from scalability limitations, lack of personalization, and insufficient alignment with real-time labor market trends. This systematic review synthesizes recent research (2019–2026) on AI-powered career guidance systems, focusing on modular AI architectures, domain-specific language models (SLMs), recommendation engines, skill-gap analysis frameworks, and privacy-preserving implementations. Findings indicate strong progress in natural language understanding, ML-based career matching, and predictive analytics for job-market forecasting. However, major research gaps remain in areas such as explainable AI in counseling, cross-cultural validation, long-term career impact measurement, and privacy-first deployment model. This work establishes a unified framework for next-generation AI career coaching systems capable of delivering scalable, ethical, and future-ready personalized guidance.

This comprehensive technical mapping of CareerPath AI demonstrates the transition from static career guidance systems to integrated, adaptive AI career coaching platforms. While early systems focused on rule-based mapping and isolated resume analysis, modern architectures leverage machine learning, NLP, and foundation models to deliver personalized, scalable, and industry-aligned career pathways. However, production readiness remains constrained by fragmented architectures, limited evaluation frameworks, insufficient regional adaptation, and scalability gaps. The proposed unified framework—combining multi-modal intelligence, cultural adaptation modules, three-tier evaluation validation, and phased deployment strategy—directly addresses these structural limitations. CareerPath AI positions itself as an ecosystem-ready intelligent career infrastructure capable of transforming traditional counseling into scalable AI-driven mentorship. By integrating skill analytics, behavioral modeling, industry alignment, and roadmap automation, the platform aims to democratize career clarity for millions of students.

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