Paper Contents
Abstract
I.ABSTRACT Sleep disorder pose a major health burden, yet early detection and lifestyle guidance remain limited. This study presents a secure web-based platform that applies Logistic Regression to predict disorder risk using health and lifestyle data. Developed with Python, Flask, and MongoDB, it ensures secure registration, encrypted storage, and personalized recommendations. By combining predictive analytics with accessible education, the system
Copyright
Copyright © 2025 Kalyankumar B. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS50900012473
ISSN:
2321-9653
Publisher:
ijprems