Mama-Mia: Care Beyond Birth

Inspiration

1 in 8 women nationally experience postpartum depression, yet nearly 50% of cases go undiagnosed. We were struck by how many new mothers silently struggle during one of the most vulnerable times in their lives. We wanted to create something that could both empower providers with better detection tools and give mothers a supportive companion during the challenges of life after birth. That’s how Mia was born: an assistant that blends clinical insight with compassionate interaction.

What it does

Mia is an AI-powered companion that serves two core roles:

Provider Support: Mia helps healthcare providers detect early signs of postpartum depression by analyzing conversation patterns, mood surveys, and reported behaviors.
Mother’s Partner: For mothers, Mia acts as a safe space to share feelings, access guided support, and receive empathy, while escalating concerns to providers when risk factors appear. Beyond mental health, Mia also offers practical guidance on bonding with the baby, building routines, and navigating the day-to-day challenges of early motherhood. Importantly, Mia tailors her responses depending on whether the mother is looking for baby relationship advice, mood support, or health guidance, ensuring every interaction feels relevant and personal.

At its core, Mia is built around two key ideas:

For All Mothers: Every mother benefits from compassionate support, not just those at risk of postpartum depression.
Designed for Real Life: Mia is structured around the realities of a mother’s busy schedule, making it simple, flexible, and always available.

How we built it

We built Mia with a modern full-stack approach:

Next.js powers the frontend, delivering a smooth and responsive experience for both providers and mothers.
Prisma + PostgreSQL handle the data layer, giving us reliability and scalability.
OpenAI integrated with Cedar OS drives the conversational intelligence, enabling Mia to hold meaningful, context-aware dialogues.
On top of this, we implemented a human-in-the-loop approval system that allows providers to review and refine AI-generated drafts, ensuring safety and trust in every interaction.

Challenges we ran into

Our initial goals were ambitious: we wanted Mia to do everything from integration with existing EMR platforms to fully adaptive memory. As the clock ticked, we had to make tough decisions about scope. We scaled down features to focus on building an MVP that demonstrates Mia’s potential. While it was challenging to balance vision with time, the constraints pushed us to prioritize and deliver a strong core product.

Accomplishments that we're proud of

We're incredibly proud of the design and user experience of Mia. The interface feels intuitive, accessible, and polished - like something that could be deployed in a real clinical setting today.

We're also proud of how we were able to fine-tune Mia's language model behavior, enabling it to provide curated, context-aware responses tailored to what each mother is seeking - whether that's mood support, health guidance, or advice on bonding with her baby.

Most of all, we're proud that in just one weekend, we transformed a complex idea into a functional platform that blends technology, empathy, and clinical awareness. The impact of this work goes beyond just a hackathon demo: Mia has the potential to help providers detect cases of postpartum depression earlier, to give mothers a safe space to be heard, and ultimately to improve health outcomes during one of the most critical phases of a woman's life.

What we learned

Through building Mia, we learned that designing platforms for health requires more than just technical execution: it demands empathy, responsibility, and careful attention to user context. We discovered the importance of balancing innovation with oversight, ensuring AI-generated responses remain safe and trustworthy through human review. We also saw firsthand how small design choices - like tone, accessibility, and personalization - could dramatically impact whether mothers feel supported and providers feel confident.

What's next for Mia: Care Beyond Birth

Mia started as a hackathon project, but our vision is to bring it into real-world maternal care. Our next steps include:

Implement HIPAA compliance - Redact PHI, strengthen encryption, and build secure audit trails to meet healthcare data standards.
Integrate with existing EMRs - Connect Mia directly into provider workflows so insights and documentation flow seamlessly into the systems they already use.
Pilot Mia with providers - Launch trials with OB/GYN clinics and mental health professionals to validate Mia’s usability and impact in real care settings.
Connecting mothers with others in similar situations to foster shared understanding and support.
Analyze wearable data - Model and interpret information from smartwatches and other devices through APIs to track sleep, activity, and stress indicators.
Measure outcomes - Collect quantitative results, such as improved detection rates of postpartum depression and reduced time spent by providers on documentation.

Our long-term goal is for Mia to evolve into a scalable, clinically validated platform that supports all mothers, empowers providers, and measurably improves postpartum health outcomes.