Personalized AI Framework for Monitoring Pregnancy Nutrition and Diabetes-Friendly Diet with Real-Time Water Tracking

Kumutha, K. and Nandhini, K. and Chinnasamy, P. and Samrin, Rafath and Saranya, S and Degala, Divya Priya (2025) Personalized AI Framework for Monitoring Pregnancy Nutrition and Diabetes-Friendly Diet with Real-Time Water Tracking. In: 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India.

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Abstract

Significant developments in artificial intelligence (AI) in recent years have produced strong AI systems that can be applied to nutrition to improve individualised dietary recommendations and general health and wellbeing. Aim of this research is to develop personalize AI model for pregnancy nutrition monitoring and diabetes free diet plan with real time water tracking. The smart phone application module is used in pregnancy nutrition monitoring and recommendation based on the user inputs. Then the recommendation will be diabetes friendly diet based on the blood sugar level which is tested, the application will also track the water in real time. The quality of nutrition care will be enhanced and next-generation nutrition care practices will be navigated with the aid of AI-based dietary evaluation tools. To assess the accuracy and effectiveness of these instruments, more research is needed.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Applications > Business Intelligence
Domains: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 29 Aug 2025 07:23
Last Modified: 29 Aug 2025 07:23
URI: https://ir.vistas.ac.in/id/eprint/10834

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