StudHub: An AI-Driven Platform for Personalized Learning and Career Development

In an era of rapidly evolving educational technologies, personalized and AI-driven learning platforms have emerged as transformative tools for enhancing student engagement and employability. StudHub is an intelligent, multi-platform educational ecosystem that integrates adaptive learning, real-time analytics, and AI mentorship to support holistic student development. The system leverages advanced machine learning techniques—such as collaborative filtering for course recommendations, reinforcement learning for adaptive guidance, and dynamic skill scoring—to deliver individualized learning pathways. Core features include the AI mentor MySarthi, which offers multilingual, context-aware career and learning support, and the Skill Score engine, which quantifies learner proficiency and progress. Designed for scalability, StudHub connects students, mentors, institutions, and corporates through a unified digital environment, enabling data-driven insights and career alignment. This review examines the architecture, functionality, and impact of the StudHub platform, demonstrating its potential to bridge the gap between education and employability through intelligent automation and personalized mentorship.