Career Intelligence and Roadmap Recommendation System

Authors: Poornima K, Praveen A, Abinaya M P, Phavinpriya M, Dr. M. Rajesh Babu

Abstract: Fresh graduates often face significant challenges in identifying the right career path due to unclear role definitions, rapidly evolving job market demands, and limited access to personalized guidance. This paper proposes a Career Intelligence and Roadmap Recommendation System that leverages data analytics and Natural Language Processing (NLP) to provide intelligent, data-driven career guidance for students and fresh graduates. The system collects real-world job posting data from publicly available job portals to analyze current industry requirements, salary trends, and skill demands. It performs a comprehensive skill gap analysis by comparing user-provided skills with market-required competencies for selected job roles. Based on this analysis, the system generates a structured, step-by-step career roadmap that dynamically updates as users acquire new skills. The platform integrates visual analytics such as demand charts and salary trend graphs to help users understand industry expectations. The proposed system aims to reduce skill mismatches, improve job readiness, and enhance overall employability among students and fresh graduates.

DOI: http://doi.org/10.5281/zenodo.20439291