Career Path Recommendation Adaptive Learning Using Artificial Intelligence

Career advice is important in assisting the students and the professionals to make better decisions concerning their future. The conventional ways of career counseling usually make use of rigid recommendations that never suit one or other learning styles, or level of skills, and the changing demands of the industry. To overcome these drawbacks, this paper recommends a career path advice system that incorporates the adaptive learning and artificial intelligence application. The system is dynamic and studies the profiles of users, assesses their skills gap and creates a tailored career recommendations based on current industry trends. The framework makes use of machine learning frameworks to make sure that the recommendations provided are accurate, and suited to the individual capabilities and goals of the learner. Moreover, adaptive learning modules ensure individualized routes to the learning process, which allows constant acquisition of new skills and enhances employability. The new solution will involve improved participation based on gamification. Empirical analysis shows that the system has a great degree of improvement in the accuracy of the recommendations and the satisfaction of the learners as opposed to the traditional approaches.