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Sugarguard: A Proactive Metabolic Intervention System Using Multimodal Llms and Customized Convolutional Neural Networks

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Last date : 27-Oct-2026

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Sugarguard: A Proactive Metabolic Intervention System Using Multimodal Llms and Customized Convolutional Neural Networks


Arpit Rokade



Arpit Rokade "Sugarguard: A Proactive Metabolic Intervention System Using Multimodal Llms and Customized Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Smart Innovations in Computer Science and Applications, March 2026, pp.781-796, URL: https://www.ijtsrd.com/papers/ijtsrd101660.pdf

Starting with food choices, keeping blood sugar steady means watching what you eat every single day. To make that easier, a new tool called SugarGuard helps track meals using smart technology built into cloud systems. Instead of guessing portions or ingredients, it uses advanced image recognition along with large language models that understand context. Working in real time, the system breaks down meals from photos, estimating carbs and nutrients on the spot. Rather than relying only on manual logs, people get immediate feedback tailored to their health needs. Built using scalable design, it runs smoothly across devices without slowing down. Testing shows consistent accuracy when comparing its analysis to lab-verified meal data. Though still in development, early outcomes suggest fewer errors in carb counting. Because it adapts to different cuisines, users from varied backgrounds can benefit equally. With secure processing, personal details stay protected behind encrypted channels. Keeping track of what people eat usually means writing it down by hand or talking to a dietitian. Mistakes happen easily that way, plus many find it hard to stick with the process. Results come back slowly - too slow when blood sugar after meals is the concern. Enter SugarGuard: an artificial intelligence tool built to help right away. It pulls together image analysis, meal details, and smart processing through a flexible online structure. Instead of waiting, users get immediate feedback on food choices related to diabetes care. Old problems fade when tech steps in like this one does. Snap a photo or speak into the device to log what you eat. With both image and text inputs, the model handles food pictures alongside spoken notes at once. Vision tools inside spot items on the plate, judge how much is there, even guess volume by shape and container. Merging those findings with nutrition facts pulls together clear reports on carbs, protein, fat. Blood sugar impact gets calculated too, using portion size and ingredient mix to estimate glycemic load. Output shows totals plus how each meal might affect glucose. Running on a cloud foundation, SugarGuard splits tasks into small independent parts handled by tools such as Docker. These pieces work together through Kubernetes, keeping everything fast when needed. Performance stays sharp during live use while adapting smoothly to changing loads. Stability holds firm even under pressure.

Multimodal Large Language Models; Computer Vision; Optical Character Recognition (OCR); Generative AI


IJTSRD101660
Special Issue | Smart Innovations in Computer Science and Applications, March 2026
781-796
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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