Review Of Approaches Towards Building AI Based Career Recommender & Guidance Systems

With the expansion of the Internet, users have access to a massive amount of data, which can lead toi nformation overload and has to be organized. Students struggle to choose a career. Personality, aptitude, academic achievements, and academic and personal environments influence students' job choices. In underdeveloped and even developed countries, students have struggled to acquire effective, free job advice. Due to this disparity, many students are unable to network with professionals in their dream careers. Based on the above facts and pain points, a systematic assessment of AI-based career recommendation and guidance system techniques has been presented in detail. Addressing career recommendation system bias followed in various ways. The study shows that AI-based Data Mining & ML is the optimal method for career prediction for students and early professionals.