In today's dynamic educational and professional landscape, there is a growing demand for intelligent platforms that offer personalized learning and career development. This study presents EduWay—an AI-driven Integrated Learning and Career Pathway System—designed to generate individualized learning paths and suggest career directions based on user-specific data gathered through an initial interactive survey. By analyzing users' academic backgrounds, career interests, and professional goals, EduWay crafts actionable roadmaps to help learners progress effectively. The system integrates modern technologies such as React for a responsive frontend, Spring Boot for a scalable backend, and AI/ML algorithms to power smart learning path generation and career mapping. It enhances learner motivation through gamified features including badges, leaderboards, and progress tracking. Furthermore, EduWay encourages collaborative learning with community features like team challenges and discussion groups. This paper outlines the platform's conceptual structure, technological implementation, and potential future advancements such as adaptive agent-based learning and labor market analysis. By aligning academic progress with industry needs, EduWay positions itself as a comprehensive tool for individualized education and skill development.
Dhawas et al. (Thu,) studied this question.