Freshers Hub: An AI Powered Career Guidance Platform

Abstract: The period immediately following graduation presents fresh engineering students with a paradox: an abun-dance of learning resources coexists with a near-total absence of structured direction. Disconnected platforms, generic interview preparation materials, and dormant professional profiles collec-tively leave many graduates underprepared when they first en-counter industry hiring pipelines. This paper introduces Freshers Hub, an intelligent, AI-driven career readiness platform designed to bridge this structural gap through three tightly integrated modules. The Skill Roadmap Engine constructs personalized, sequenced learning paths based on a student’s target role, draw-ing on a validated graph of technology dependencies to prevent unproductive learning loops. The AI Interview Simulator creates a realistic and pressure-free practice environment by dynamically generating domain- specific questions across difficulty tiers and analyzing candidate responses using SpaCy-based natural language processing pipelines that evaluate semantic accuracy, sentiment, and professional confidence. The Profile Analytics module aggregates data from LinkedIn, GitHub, and LeetCode through asynchronous REST API calls, computing a proprietary Professional Identity Score that is benchmarked against real job descriptions to generate a recruiter-facing readiness heatmap. Built on a React.js and Next.js frontend, a Python-FastAPI and Node.js backend, and MongoDB 6.0 for flexible data storage, Freshers Hub transforms fragmented preparation efforts into a unified, feedback-driven progression. Early validation trials indicate an approximately 80 percent reduction in resource-search overhead, measurable gains in interview performance under simulated pressure, and a roughly 30 percent improvement in profile visibility among participating students.

Keywords: AI-Powered Career Guidance, Natural Language Processing, Career Roadmaps, Mock Interview Simulation, Professional Identity Score, Fresh Graduates, SpaCy, TensorFlow.