To develop an AI ML model that can analyze student performance data and provide personalized learning recommendations.
To improve student engagement and academic performance through personalized education.
To enhance teachers' ability to cater to individual student needs through AI ML technology.
Collect and preprocess student performance data.
Develop algorithms for personalized learning recommendations based on student data.
Implement a user-friendly interface for teachers to access and utilize the AI ML model.
Conduct testing and evaluation of the AI ML model on real student data.
Document the development process and results in a comprehensive report.
