Career Guidance System Using LLM

Career guidance plays a significant role in shaping the future of students and professionals. With the rapid advancement of technology and the emergence of new career opportunities, traditional career counselling methods are becoming insufficient. This review paper presents a comprehensive analysis of Career Guidance Systems based on Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs). The paper reviews existing techniques, methodologies, and tools used in intelligent career recommendation systems. It highlights the role of machine learning algorithms in prediction and the importance of LLMs in enabling conversational and context-aware interaction. Furthermore, the paper discusses the integration of web frameworks such as Flask and database systems like MySQL for practical implementation. This review identifies current challenges, research gaps, and future directions in the development of intelligent and scalable career guidance systems..