Nutrient Prediction and Charting Using AWS Athena and QuickSight
This project develops a nutrient charting system, utilizing AWS Athena and QuickSight to visualize nutritional data for various demographic groups, including infants, children, males, females, and pregnant women. The system filters and sorts data stored in S3 based on age and life stages, providing insights into nutrient requirements and overall health needs. Data visualization through charts enables users to compare and understand dietary needs across groups. Built on trusted sources like Dietary Reference Intake, the system allows users to explore nutrient tracking through a customizable dashboard. Key features include viewing nutrient values, comparing needs, and potential future interactions. This project enhances nutrient tracking, making it more visual and adaptable for future features like personalized health insights.
Authors
- Selvanayaki Kolandapalayam Shanmugam (ORCID: https://orcid.org/0000-0002-6415-9198)
- J. Senthilkumar
- J Logamithra
- Joan Trishala K
- T Elangovan
- Sindhu Abhijit
Institutions
- Ashland University (US)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/icict64420.2025.11005094
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00