Integrated Student Management and Placement System (ISMPS)

This project creates a secure, role-based educational management system using face recognition authentication. Using Convolutional Neural Networks (CNNs) for biometric authentication, it eliminates the use of traditional passwords, making it more secure. Administrators, teachers, students, and parents are supported, each with customized functionalities. PHP is used for the user interface and database management, while Python executes the CNN-driven face recognition. Administrators have complete control, managing user registration and system settings. Teachers manage materials and attendance; students use resources and contests. Parents track student progress, including fees and placements. Major features include profile management, attendance tracking, fee administration, and complaint handling. By combining sophisticated authentication and role-based access, this system provides better security, efficiency, and user experience than traditional educational management systems, offering a contemporary, privacy-centric solution.