AI based Dynamic Model for Question Paper Generation and Performance Monitoring

By generating defined problems out of generic algorithms and assessing the students' abilities at each point of the practice paper, a robust universal platform is created for learning math by personalizing each problem to help the students perform much better by guiding them through. Every problem has a degree of difficulty, which increases when the student solves it successfully. This will allow us to keep track of students' capabilities, and will provide them with practice papers that are based on the difficulty of the previous attempt. The process will start with database generation of Algebra vertical and then building an algorithm to generate the question papers based on students' performance.