International Journal of Advanced Science and Engineering Research
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e-ISSN 2455-9288
alameenpublications@gmail.com
e-ISSN 2455-9288
ijaser
IJASER publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of advanced science and engineering and its applications.
The enhanced school management system presented in this research is intended for monitoring the attendance and health of students in the 1–5 age range. With role-based access for parents and staff, the system incorporates a web-based platform that offers health evaluation via AI-driven analysis of height and weight measures, student data management, and attendance tracking. Tensorflow.js is used to create a neural network that is trained to categorize children into underweight, normal, or overweight groups, offering tailored health recommendations. To improve stakeholder participation, the system uses an eye-catching, intuitive interface with data visualization tools. High categorization accuracy and usability are demonstrated by the experimental results, establishing the system as a useful instrument for health monitoring and early childhood education.