The integration of artificial intelligence (AI)-grounded procedures and the Internet of Things (IoT) is very important in the advancement of smart and intelligent paradigms. These techniques can be applied very efficiently for the development of various sectors, including the solution of mental health issues among students, especially in sports education. The proposed article is a summary and analysis of existing intelligent approaches employed to safeguard against numerous mental health issues during the academic journey of a learner. With the utilization of smart methodologies, it is very feasible to compute the stress or depression level of a student and improve academic performance and skills. With innovative technologies, it is possible to accurately analyze behavioral features and recognize any unwanted pattern for the timely detection of mental health issues. To assist the learners in becoming responsible citizens, it is very efficient to utilize AI for the improvement of their psychological quality and mental performance by reducing anxiety and depression levels. Smart methods can be applied for the recognition of personnel in educational sectors who are facing difficulties in performing their duties and can be motivated to enhance their mental level. The investigation then gathered several significant qualities from the literature already in the field and chose the most prevalent ones. The analytical hierarchy process (AHP) is then used to execute the weighting of these attributes. The Multi-Objective Optimization on the Basis of Research Analysis (MOORA) approach was used to rank the options.