AI-Driven Career Development: LLM-Powered Voice Interviews and Interactive Roadmap Generation for Student-to-Workforce Transition

Abstract

AI-based platform functions as a solution to bridge educational-to-workplace readiness gaps through customized career development plans and interactive skill improvement activities. The system incorporates two essential operational components. The system delivers real-time voice-based mock interviews through AI-driven Interview Preparation that utilizes large language models (LLMs) along with automatic speech recognition and text-to-speech synthesis; the Smart Career Roadmap Builder allows users to manage skill acquisition through an interactive drag-and-drop interface supported by AI recommendations. The platform delivers an optimized user experience through AI-powered content generation and intelligent feedback. The system proves its reliability through comprehensive evaluation from testing with 95% accuracy in speech transcription (Deepgram Nova 2), 94% accuracy in conversational agent consistency (Claude Sonnet 4), and 92% accuracy in feedback quality assessment (Gemini 2.0 Flash Lite). The system provides learners with intelligent recommendations and structured feedback and dynamic visualization which helps them make confident workforce transitions.

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