Machine Learning Based Predicting Student Academic Success


Today, all institutions and companies are accelerating the use of AI technologies in their businesses to achieve a clear vision and quality results. The education sector is one of the sectors where AI can be used because of big data. In this work we created a machine-based learning model to predict a student's educational performance. The developed model relied on the student's previous data and performance in the last stage of the school. The model showed a very accurate accuracy rate that can be adopted.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL