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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66435
Volume:
10 |
7 |
Jul 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
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.

Department of Computer Science and Engineering
Rajeev Institute of Technology Hassan

Department of Computer Science and Engineering
Rajeev Institute of Technology Hassan

Department of Computer Science and Engineering
Rajeev Institute of Technology Hassan

Department of Computer Science and Engineering
Rajeev Institute of Technology Hassan

Department of Computer Science and Engineering
Rajeev Institute of Technology Hassan
Breast milk is the most important and natural source of nutrition for infants, providing essential nutrients, antibodies, proteins, and immune-supporting components required for healthy growth and development. Ensuring the quality and safety of stored breast milk is a significant challenge, particularly for working mothers, as improper storage conditions can result in bacterial contamination, nutrient degradation, and milk spoilage. To address this issue, this project proposes “NutriMilk Guard: Smart Breast Milk Storage and Quality Monitoring,” an intelligent IoT-based system designed to monitor and preserve the quality of stored breast milk. The proposed system continuously monitors critical parameters such as temperature, humidity, pH level, and storage duration using smart sensors connected to a microcontroller such as ESP32 or Arduino. The collected sensor data is processed and transmitted to a cloud platform or mobile application, enabling real-time monitoring and remote access. Whenever abnormal storage conditions, potential spoilage, or quality deterioration are detected, the system instantly notifies the mother through the connected application, ensuring timely corrective action.
KEYWORDS
The proposed NutriMilk Guard: Smart Breast Milk Storage and Quality Monitoring system successfully integrates IoT sensors, microcontroller processing, and cloud-based communication to develop an efficient, reliable, and intelligent solution for safe breast milk storage. The system continuously monitors important parameters such as temperature, humidity, pH level, and storage duration using suitable sensors and IoT technology. The integration of real-time monitoring, quality analysis, and instant alert mechanisms enhances the reliability and usability of the system. Whenever abnormal storage conditions or possible spoilage are detected, the system generates alerts and sends timely notifications to the mother through a connected mobile application or monitoring platform, helping to reduce manual monitoring efforts and minimize milk wastage. By integrating IoT communication, cloud monitoring, and smart alert mechanisms, the proposed system provides mothers with a smart, user-friendly, and real-time solution for managing breast milk storage conditions. Overall, the project improves the safety and preservation of stored breast milk, supports mothers in effective storage management, and contributes to improved infant healthcare through the application of IoT-based monitoring technology.
[1] U. Ramanathan, K. Pelc, T. P. da Costa, R. Ramanathan, and N. Shenker, “A Case Study of Human Milk Banking with Focus on the Role of IoT Sensor Technology,” Sustainability, vol. 15, no. 1, 2023, Art. no. 243. [2] Centers for Disease Control and Prevention (CDC), “Breast Milk Storage and Preparation,” 2026. [3] “Storage of Breast Milk: Effect of Temperature and Storage Duration on Microbial Growth,” Central African Journal of Medicine, 2001. [4] K. Udoka, P. V., E. Ibukun, and J. C., “Impact of Storage Conditions on the Microbiological Quality of Expressed Breast Milk,” International Research Journal of Medical Sciences and Health Care. [5] N. Shenker et al., “Donor Human Milk Banking: A Guide to Establishing and Operating a Human Milk Bank,” Human Milk Banking and Storage Guidelines, 2023. [6] U. Ramanathan, K. Pelc, T. P. da Costa, R. Ramanathan, and N. Shenker, “A Case Study of Human Milk Banking with Focus on the Role of IoT Sensor Technology,” Research Repository, University of Essex, 2023.
Publication Date
8/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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