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. Key Words: secure, role-based, educational management system, face recognition, authentication, convolutional neural networks (cnns), biometric, php, user interface, database management, user registration, attendance tracking, profile management, privacy-centric, user experience

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-25
DOI
https://doi.org/10.55041/ijsrem42985
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
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article

Integrated Student Management and Placement System (ISMPS)

Sithara Parwin
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Experimental Learning in Engineering
article

Integrated Student Management and Placement System (ISMPS)

Sithara Parwin
article en

Abstract

- 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. Key Words: secure, role-based, educational management system, face recognition, authentication, convolutional neural networks (cnns), biometric, php, user interface, database management, user registration, attendance tracking, profile management, privacy-centric, user experience

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 93%
Experimental Learning in Engineering
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Integrated Student Management and Placement System (ISMPS) — Sithara Parwin · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS