Preggify

Smart Pregnancy care for every woman

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Inspiration

Preggify was inspired by the realities faced by millions of women in low-resource communities. I saw firsthand how delays in care, lack of education, and poor access to health tools contributed to preventable pregnancy complications. My goal was to build a solution that empowers women—whether they own a smartphone or not—to take charge of their pregnancy journey with timely, personalized, and culturally relevant support.

What it does

Preggify is a mobile and offline maternal health platform that:

Helps women track vitals like blood pressure and blood sugar

  • Provides weekly education on pregnancy stages

  • Delivers mental health tools and nutrition plans

  • Uses smart algorithms to flag high-risk cases:

$$ \text{Risk_Alert} = \begin{cases} \text{true}, & \text{if BP} > 140/90 \text{ or BloodSugar} > 200 \ \text{false}, & \text{otherwise} \end{cases} $$

  • Connects users to doctors or midwives for early intervention

  • Supports non-smartphone users via USSD and SMS

  • Offers a Pregnancy Academy to educate partners and families

How we built it

  • Frontend: Built using Flutter for Android support with a simple, accessible UI
  • Backend: Node.js + Express with MongoDB, deployed on Heroku

  • Alert System: Custom rule engine triggers medical alerts based on vitals

  • Content Engine: Weekly modules written with local cultural references, reviewed by doctors

  • Data & Privacy: Encrypted using industry best practices and GDPR-ready

Challenges we ran into

  • Network Constraints: Optimizing backend responses for low-bandwidth environments
  • Behavioral Change: Encouraging consistent use among users unfamiliar with digital health tools

Accomplishments that we're proud of

  • Built an end-to-end health tech platform from scratch in under 3 months
  • Received praise from both expectant mothers and midwives
  • Designed with equity in mind—ensuring even the most underserved women aren’t left behind

What we learned

  • Empathy is a powerful design tool. Real impact comes from building with, not just building for users.
  • Health tech must walk a tightrope between automation and caution—especially with life-impacting data.

What's next for Preggify

  • Pilot Launch in local health centers and with NGO partners
  • Machine Learning: Train smarter triage models using anonymized user data
  • Multilingual Support: Expand to support local Nigerian languages
  • Community Features: Peer support groups and live chat with verified nurses/midwives
  • Partnerships: Collaborate with ministries of health and maternal health NGOs for wider reach
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