[Seeking Professional Feedback] A Mobile Health Application for Breastfeeding Support (Capstone Project)
Hello, I’m Jade.
We are a group of undergraduate Information Technology students from the PUP currently completing our capstone project, a semi-intelligent mobile health (mHealth) application designed to provide accessible breastfeeding support for Filipino mothers.
We are reaching out to professionals in IT, healthcare, and related fields to gather expert critique, technical feedback, and practical suggestions that could meaningfully improve our system before development and evaluation.
What the App Does
The app integrates three core features:
AI-Powered Breastfeeding Assistant - A generative AI chatbot that provides timely, conversational responses to breastfeeding concerns 24/7, powered via API integration with a Django backend.
Verified Knowledge and Community Page - A section featuring organization-verified breastfeeding articles and a moderated peer support community for mothers to share experiences.
Milk Bank Booking and Monitoring System - A smart allocation and scheduling system that connects donor and recipient mothers to accredited human milk bank facilities, with a structured notification workflow tracking the full process from screening to milk donation/acquisition confirmation.
The application is built using React Native (mobile), Django (backend), and PostgreSQL (database).
What We Are Looking For
We welcome feedback from professionals in the following areas:
- IT / Software Engineering - Are the proposed features technically feasible? Are there architectural, security, or scalability concerns we should address?
- Healthcare / Lactation - Are the features clinically appropriate? Are there risks, gaps, or best practices we are overlooking?
- UX / Product Design - Are the user flows logical and accessible, particularly for mothers with varying levels of digital literacy?
- General critique - What are the weaknesses in our concept? What would you improve, remove, or add?
We are particularly interested in honest, critical feedback - not validation. If something about our approach is flawed or naive, we want to know.
We are happy to share more details about specific features, technical architecture, or our research framework if needed. Any input, however brief, is genuinely appreciated.
Thank you for your time.