Employee Access Predection

The Employee Access Prediction project is a cutting-edge data-driven solution designed to enhance security and streamline access management within the organization. Leveraging advanced machine learning algorithms, this project aims to predict, with high accuracy, the access permissions an employee should be granted based on historical data and relevant attributes.

By analyzing patterns and user behavior, this predictive model will enable us to optimize access control, minimize unauthorized access, and reduce administrative overhead. Ultimately, it promises to enhance efficiency, bolster security, and ensure that employees have the right level of access to perform their roles effectively.

You can see thee project along with the source code here :- https://github.com/roshni-1/Employee_Access_Prediction