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The Growth Prediction System is a service that students and parents of schools implementing Smart Health Protection can use, and is an app developed to help children and adolescents achieve healthy and proper growth.

The smart health guardian growth prediction system, specialized in preventing obesity and smoking in students, analyzes individual physical health information collected through linkage between highly reliable measuring equipment and systems, and provides accurate physical health information (height, weight, BMI index, body fat). , smoking index, etc.), domestic standards, and comparison data with peers are implemented with graphs and animation effects for easy understanding, and personalized health information and customized growth exercise videos from Mackerel Coach are provided, making it easy and convenient to use Smart Smart not only at school but also at home. You can manage your children's health using your phone.

The Smart Growth Prediction System, which started as a new service in 2018, has introduced a growth prediction service through independent data collection and unique analysis of growing adolescents based on 300,000 pieces of physical data obtained from 27,000 children and adolescents over the past five years. .
The growth forecast results are provided in graphs for easy viewing, and an explanation screen is provided to provide commentary on the growth forecast. Based on measured physical data, we provide personalized growth management content on exercise, sleep, and nutrition. For users with normal height and body type, we provide separate content to help them grow healthier.

We are currently providing services in 27 schools in Gwangmyeong City, Siheung City, Osan City, and Ansan City, and we ask for your interest and support so that our students can grow brighter and healthier. thank you

For inquiries regarding Smart Health Guard (and matters related to personal information protection), please call 1544-1284 and we will provide you with detailed information.

For information regarding privacy policy, please refer to the URL below.
https://gpbio.s3.dualstack.ap-northeast-2.amazonaws.com/application/terms/PrivacyPolicy.htm