Abstract - The rapid growth of higher education institutions and diverse career options has made academic and career planning increasingly challenging for students. This project, titled AI-Enabled Academic and Career Planning System , aims to provide an intelligent platform that simplifies the process of college selection and career guidance. The system integrates comprehensive information about colleges to enable students to make well-informed choices. A core feature is the AI-driven quiz and recommendation module that analyzes students’ interests, strengths, and skills to suggest suitable courses and potential career paths. The platform is built using a modern and scalable technology stack: the frontend utilizes HTML, CSS, and JavaScript, specifically leveraging React.js for a dynamic and responsive UI ; the backend is powered by Node.js ; data storage is managed by MongoDB ; and the AI recommendation engine is implemented in Python, leveraging libraries such as scikit-learn and TensorFlow for machine learning functionalities. Hosting and deployment are managed via Firebase, ensuring robust performance and broad accessibility. By combining detailed institutional data with personalized AI-driven guidance, this system effectively bridges the gap between students’ aspirations and academic opportunities, empowering them to take confident steps toward their future. Key Words: AI-Enabled, Career Planning, Academic Guidance, Recommendation System, Machine Learning, Web Platform, College Selection, Node.js, MongoDB, React.js, TensorFlow.
Sham et al. (Tue,) studied this question.