AI System Offers Real-Time Student Assessment and Career Guidance

Many computer science and software engineering students struggle to identify suitable career paths, often due to a misalignment between their academic performance, abilities, and interests. To address this challenge, researchers have developed an AI-powered system designed for student assessment and career guidance. The proposed system integrates two main components: a Career Guidance Expert (CGE) system and a Web-Based Student Assessment (WBSA) platform. The CGE leverages AI to provide personalized career recommendations, assisting students in identifying appropriate jobs, research areas, and higher education opportunities post-graduation. The WBSA platform enhances interaction between students and faculty through assessments, personalized tasks, mentorship, and a secure chat feature. The CGE system utilizes a Multilayer Perceptron (MLP) model, trained on real-world academic and extracurricular data, achieving a high validation accuracy of 94.71% in predicting career paths. The WBSA platform is built with modern web technologies like Node.js, Next.js, and PostgreSQL, ensuring scalability and secure data management within a cloud-based infrastructure.