This project introduces an AI-driven analytics platform for educational institutes, combining data from various sources into a central database using SSIS and SQL. Machine learning techniques such as Random Forest, Logistic Regression extract valuable insights from institute’s data such as predicting student admission based on certain features. Through predictive analytics and user friendly visualization tools, we facilitate informed decision-making processes that drive institutional effectiveness.The platform aims to empower educational administrators with data-driven insights to enhance student engagement and academic outcomes. As we continue to refine and expand our platform, we anticipate ongoing advancements in data-driven innovation within educational institutes.
Tools: Python,HTML,CSS,Django,Scikit-learn,SQL Database,Visual Studio Code
Department: Department of Computer Science
Project Poster
