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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63806

Pregamaa: Smart Pregnancy Care Mobile Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63806

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63806

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

PBw

Piyush Bhaskar wadibhasme

computer science and engineering

goverment college of engineering ,chandrapur

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LYW

Lokesh Yuvraj Wakhare

computer science and engineering

goverment college of engineering ,chandrapur

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SAT

Shivani Ajay Tayde

Computer Science And Engineering

Government College Of Engineering Chandrapur

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YCK

Yashashree Chandrashekhar Kawale

Computer Science And Engineering

Government College Of Engineering Chandrapur

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RDW

Rohan Dasharath Wadhave

Computer Science And Engineering

Government College Of Engineering Chandrapur

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SRT

Shruti Ramesh Tajne

Computer Science and Engineering

Government College Of Engineering Chandrapur

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Mentors

DSUG

Dr. S. U. Ghumbare

computer science and engineering

goverment college of engineering ,chandrapur

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Abstract

Maternal health is a critical public health priority globally, with significant challenges persisting in developing regions due to limited internet connectivity, fragmented healthcare systems, and lack of unified digital tools. Pregamaa is a Flutter-based, offline-first maternal healthcare mobile application designed to address these challenges by delivering a comprehensive, role-based pregnancy care platform. The application supports two primary user roles — Pregnant Woman and Doctor — and provides ten functional modules including pregnancy week tracking, food recommendations, medicine reminders with local push notifications, medical report management, health articles, and MediBot — an offline AI chatbot for health queries. Built on Clean Architecture principles with Riverpod state management and SQLite local storage, Pregamaa ensures that all core features function reliably without internet access. Testing results demonstrate 100% accuracy in offline functionality, role-based access control, and notification delivery, with database response times under 50ms and 99% application uptime. The modular architecture supports future integration with cloud backends, real-time telemedicine, and AI-based health recommendations, positioning Pregamaa as a scalable foundation for digital maternal healthcare.

KEYWORDS

Flutter Riverpod SQLite Offline-First Architecture Maternal Healthcare mHealth MediBot Clean Architecture Pregnancy Tracking Medicine Reminder Role-Based Access Control

Cite This Article

Piyush Bhaskar wadibhasme, Lokesh Yuvraj Wakhare, Shivani Ajay Tayde, Yashashree Chandrashekhar Kawale, Rohan Dasharath Wadhave, Shruti Ramesh Tajne, Dr. S. U. Ghumbare, "Pregamaa: Smart Pregnancy Care Mobile Application," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM63806

Full Article/Conclusion

This paper has presented Pregamaa, an offline-first maternal healthcare mobile application developed using Flutter and Clean Architecture principles. The system successfully delivers a comprehensive, role-based pregnancy care platform — combining pregnancy tracking, medicine reminders, food guidance, medical report management, health articles, and AI chatbot assistance — that operates reliably without internet connectivity.   Experimental evaluation confirmed 100% offline functionality, 100% role-based access control accuracy, sub-50ms database response times, and 100% on-device notification delivery accuracy. User acceptance testing demonstrated high satisfaction across both user roles, particularly for the offline reliability and medicine reminder features.   Pregamaa addresses a critical and underserved need in maternal healthcare technology: a unified, offline-capable mobile platform accessible to pregnant women in low-connectivity environments. By establishing a scalable, modular architecture ready for future cloud and AI integration, Pregamaa represents a meaningful and extensible contribution to digital maternal healthcare in developing regions.

References

[1]        S. Lund et al., "Mobile health intervention reduces perinatal mortality in Zanzibar: secondary outcomes of a cluster randomized controlled trial," BJOG: An International Journal of Obstetrics & Gynaecology, 2016. [2]        J. E. Hirst et al., "Feasibility and acceptability of a smartphone-based application to monitor maternal well-being in rural India," Pilot and Feasibility Studies, 2018. [3]        G. Ledger et al., "A smartphone application for pregnancy tracking and symptom logging," Journal of Mobile Technology in Medicine, 2014. [4]        T. W. Bickmore et al., "Engagement vs. Deceit: Virtual Agents and User Wellbeing," in Intelligent Virtual Agents, Springer, 2009. [5]        L. Laranjo et al., "Conversational agents in healthcare: a systematic review," Journal of the American Medical Informatics Association, vol. 25, no. 9, pp. 1248-1258, 2018. [6]        C. Hartung et al., "Open Data Kit: Tools to Build Information Services for Developing Regions," in Proc. 4th ACM/IEEE Int. Conf. on ICT and Development, 2010. [7]        W. Brunette et al., "Open Data Kit Sensors: A Sensor Integration Framework for Android at the Application Level," in Proc. MobiSys, 2013. [8]        R. C. Martin, Clean Architecture: A Craftsman's Guide to Software Structure and Design, Prentice Hall, 2017. [9]        Google LLC, Flutter Documentation, https://flutter.dev/docs, Accessed 2025. [10]      Riverpod Documentation, https://riverpod.dev/docs, Accessed 2025.

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Publication Date

5/22/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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