Published Paper Details:

Career planning is a critical skill in the rapidly evolving 21st-century workplace, where the World Economic Forum projects that approximately 39% of core work skills will change by 2030. Existing career guidance platforms remain fragmented, static, and non-personalized, limiting their effectiveness for students and early-career professionals. This paper presents the design and development of a web-based Career Path Guidance System built using full-stack technologies--HTML/CSS/JavaScript for the frontend and Python/JSON for the backend. The proposed system provides personalized career roadmaps, skill assessment modules, and structured learning pathways in a unified, responsive interface. The architecture adopts a lightweight, database-free design using JSON files for persistence, ensuring simplicity and maintainability. Testing results confirm that all functional modules--including authentication, profile management, and roadmap generation--operate correctly and reliably. The platform addresses key gaps in existing systems by offering interactive, personalized, and data-driven career guidance, thereby empowering users to make proactive career decisions. Index Terms--Career guidance, full-stack web development, personalized roadmap, skill assessment, Python, JSON, HTML/CSS/JavaScript, career planning platform.