The rapid evolution of technology and the expanding digital economy have created significant complexity in career decision-making for students and fresh graduates. Traditional career counselling approaches are static, generalized, and fail to account for individual skill profiles, evolving industry demands, and personalized learning trajectories. This paper presents ElevateX, an AI-powered career guidance platform that leverages large language models (LLMs) and natural language processing (NLP) to deliver personalized career recommendations, skill gap analysis, dynamic learning roadmaps, project suggestions, resume insights, and mock interview simulations. ElevateX engages users through an intelligent questionnaire that assesses their skills, interests, and aspirations, and subsequently generates actionable guidance tailored to their profile. Experimental evaluations demonstrate high user satisfaction, improved career clarity, and measurable gains in skill awareness among participants. The platform addresses a critical gap in accessible, personalized, and data-driven career counselling for the student community.