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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53886

Meal2Dose : A Web-Based Meal-to-Insulin Guidance System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53886

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SM

Saloni Mohite

PB

Purva Bhong

ER

Ektaa Rawal

SD

Srushti Dhanawade

DD

Disha Deotale

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Abstract

Diabetes management requires precise calculation of insulin doses, which is highly dependent on the type of food consumed, portion sizes, and patient-specific parameters such as weight, age, and pre-meal blood glucose levels. In India, diverse dietary habits and mixed meals with variable carbohydrate content present a unique challenge for accurate insulin dosing. Meal2Dose is a web-based system developed to provide personalized insulin guidance for Indian meals. The system allows patients to select multiple food items through a cart-style interface, dynamically calculates insulin doses using nutritional data and patient-specific parameters, and maintains comprehensive records of meal history, insulin doses, and glucose readings. By integrating a curated Indian food database, intelligent dose computation, and analytics for both patients and healthcare providers, Meal2Dose reduces dosing errors, improves glycemic control, and facilitates evidence- based decision-making. Initial testing with 50 patients demonstrated a 92% dose accuracy compared to clinical calculations and improved patient adherence.

KEYWORDS

Diabetes Management Insulin Guidance Indian Cuisine Meal Cart System Personalized Health Monitoring Web Application

Cite This Article

Saloni Mohite, Purva Bhong, Ektaa Rawal, Srushti Dhanawade, Disha Deotale, "Meal2Dose : A Web-Based Meal-to-Insulin Guidance System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025.

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Publication Date

11/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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