Emotional intelligence (EI) is supposed to be defined as the ability of the students to identify and realize their emotions by the counsellor to assess their mental strength. The skill of realizing, increasing the student’s concentration on studies and managing the relationship is carried out using Artificial Intelligence (AI) by tracking and detecting the iris images. This AI-based iris detection is helpful in directing the teachers and student counsellors to manage their relationship by analysing their EI. The reason for this research is to comprehend the EI of the students at schools. Understanding EI at the schools depend on the concentration of the students on studies, their ability to grasp the subjects taught during the class hours and the relationship that needs to be maintained with the teachers and students. Apart from this, it includes the interaction with their class students and teachers depending on EI by analysing the circumstances from various points of view to develop EI. The various attributes that relate to the success of an individual in his/her profession not only depends on the academic skill set and technical proficiency, but also depends on EI whose governing factors are self-management, self-control and effective inter-personal skills that would lead to the accomplishment of the short and long term objectives. A strong EI provides direction to the teachers and students to establish a strong relationship and encourage the students to contribute with an optimal or high performance. In this research paper, the focus is on the EI and its ability or contribution to the successfulness which rule over the emotions of the students at schools to improve and monitor their concentration level. Attributes, such as occlusion and entropy are used as inputs to Artificial Neural Network (ANN) model. The proposed AI technique uses Radial Basis Function Network (RBFN) to classify the features extracted from the iris images using watershed segmentation and generate models of EI which contribute to the leadership. The concept of AI-based detection of EI contributes to the development of the skills and capacities of the students which would sufficiently offer an effective operational role at the school. This paper presents a comparative study of various Emotion Assessment by Iris Tracking (EAIT) techniques to select the best iris images for optimal recognition.