MamáCare

A buddy for new mom care and support

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Inspiration

Becoming a new mom was a life-changing journey. I quickly realized how overwhelming it can be to manage feeding schedules, medical notes, and emergency contacts while adjusting to life with a newborn. Through this experience, I realized how much new mothers could benefit from simple, reliable support. That personal need became the inspiration for mamacare.ai: an AI-powered buddy designed to lighten the mental load for new moms.

What it does

mamacare.ai is a conversational AI assistant named Alice, built to help new moms by:

  • Logging breastfeeding sessions (time, side, duration, notes) into a Google Sheet.
  • Managing important medical notes and reminders.
  • Storing and retrieving essential contact information like pediatricians, lactation consultants, and emergency numbers.
  • Providing emotional support through friendly, helpful chat interactions. All with just a simple conversation no complicated apps or manual data entry.

How we built it

We used:

  • n8n as the no-code/low-code platform to orchestrate the workflows.
  • LangChain for agent behavior and conversational memory.
  • OpenAI's GPT-4o-mini model for natural, context-aware chatting.
  • Google Sheets API as a lightweight, cloud-based database for structured logs and contacts.
  • Google OAuth2 for secure authentication to user spreadsheets. The system is modular, scalable, and ready to plug into broader maternity care ecosystems in the future. ## Challenges we ran into
  • Structuring AI outputs reliably: Ensuring that breastfeeding logs were captured in strict JSON format without AI drifting into unstructured text took fine-tuning prompts and output parsing.
  • Managing memory: Balancing conversation history while maintaining responsiveness in a lightweight system.
  • Data privacy: Even using a simple tool like Google Sheets required careful thought about securing access tokens and limiting unnecessary data exposure. ## Accomplishments that we're proud of
  • Built a functional, end-to-end AI agent that interacts naturally and records critical data without user friction.
  • Created a solution that reflects real, lived experience not just a technical idea.
  • Integrated multiple tools (n8n, LangChain, OpenAI, Google Sheets) into a seamless flow despite their different architectures.

What we learned

  • How powerful low-code platforms like n8n can be for rapidly prototyping real-world AI solutions.
  • The importance of empathy in AI design: when building for new moms, simplicity, warmth, and trustworthiness mattered just as much as technical accuracy.
  • Handling structured outputs and integrating conversational agents into cloud services requires careful design thinking at every step.

What's next for MamáCare

We see MamáCare as just the beginning of building smarter, more compassionate tools for early motherhood. Next steps include:

  • Mobile app integration: Bringing MamáCare to iOS and Android for easier access and notifications.
  • Health tracking expansion: Adding modules for baby growth milestones, vaccination schedules, postpartum health tracking, and mental wellness check-ins.
  • Voice assistant support: Enabling hands-free interaction through smart speakers and wearables.
  • Personalized insights: Using AI to offer custom tips and reminders based on each mom's unique patterns and needs.
  • Privacy-first design: Implementing encryption and HIPAA-compliant storage to ensure that moms’ data remains safe and confidential.
  • Solana blockchain integration: For secure health record storage, enabling moms to control and share their data selectively with healthcare providers. Ultimately, we envision MamáCare growing into a trusted digital companion supporting millions of moms through one of life’s most beautiful (and challenging) journeys.

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