Guided Growth: Machine Learning for Age-Specific Essentials, Health, and Lifestyle for Children
Guided Growth is a machine learning system that supports parents and caregivers in providing age-specific recommendations for children aged 0-10 years. The system automates the process of recommending essential documents, health requirements, and lifestyle changes based on the child’s age. Experimental results show that the platform’s machine learning engine successfully provides personalized recommendations, improving the accuracy and timeliness of health and developmental suggestions. These results demonstrate significant improvements over traditional methods, especially in minimizing missed milestones and enhancing user satisfaction. The system’s effectiveness in real-world applications proves its potential to revolutionize child care by providing automated, accurate, and relevant guidance for parents and caregivers.
Authors
- Surapaneni Phani Praveen (ORCID: https://orcid.org/0000-0002-7458-5908)
- J. Refonaa
- S. L. Jany Shabu (ORCID: https://orcid.org/0000-0002-8603-4257)
- S. Dhamodaran (ORCID: https://orcid.org/0000-0001-5852-610X)
- S P Divyadarshini
- Thasleema Taj T
Institutions
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-05-21
- DOI
- https://doi.org/10.1109/icaiss61471.2025.11041739
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00