Abstract:

This paper discusses an AI Driven Exam Clearance System as part of the existing eLearning System. The system recommends a criterion where a student can sit for their final year semester exams even when they have not yet cleared tuition fees of the final year 2nd semester of their program of study using students’ payment history data. The software is sectioned into the accounts and faculty segments. The faculty manager handles the adding of student’s attendance to the system after a student request has been made, the account manager handles the addition of the category of payment plan that the student falls into and the system validates and recommends students that meet the criterion. This system was designed to overcome the problems identified with the current eLearning System whereby many final years, and final semester students find it difficult or are unable to get permission to do their final exams with an outstanding balance. The legacy system used in the company was also studied in more detail. With this, more requirements for the AI Driven Clearance System were obtained and the system was designed and implemented. The interfaces for the module system were implemented using HTML, Bootstrap, and Java Script. MYSQL was also used for implementing the system database while Python and Django framework was used to create interactivity with the database. After the implementation, the new system was then tested, validated, re-evaluated, and then deployed.