Help Build AI-Powered Pregnancy Risk Detection

by Equitable Medicaid and Clinical Research Ltd/Gte
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection
Help Build AI-Powered Pregnancy Risk Detection

Project Report | Aug 18, 2025
AI Could Save Mothers. Help Us Build It

By Ugbede-Ojo Dominic Kadiri | Project Leader

Dear Change-Makers,

First, we want to sincerely thank you for considering our mission—even before we’ve received our first donation. Your belief in innovation for maternal health could save countless lives, and we’re grateful you’re here at the start of this critical journey.

Every day, women in underserved communities die from preventable pregnancy complications such as hemorrhage, eclampsia, infections simply because warning signs went undetected. In regions where child marriage and teen pregnancy prevail (often shrouded in silence), the risks are even higher:

  • Teen mothers face 2x higher risk of fatal complications
  • 1 in 4 maternal deaths could be prevented with early detection
  • Cultural taboos prevent open discussions about prenatal care

This isn’t just a health issue; it’s a justice issue. When a 15-year-old bride bleeds to death during childbirth because no one recognized her high blood pressure, that’s a failure we can solve.

We’re developing an AI-powered tool to:
Analyze risk factors (blood pressure, age, medical history) in real-time
Alert community health workers to intervene before crises occur
Work offline for rural clinics with no internet

This technology won’t replace doctors, it will empower frontline health workers to act faster, especially where specialists are scarce.

Right now, prototypes exist, but we lack funds to:

  • Train the AI with localized health data
  • Deploy devices to pilot clinics
  • Educate midwives and teens on using the tool

Without action, preventable deaths will continue. But with your help, we can launch this system within 3 months.

Thanks for saving lives,
Ugbede-Ojo Dominic Kadiri
Project Leader

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Organization Information

Equitable Medicaid and Clinical Research Ltd/Gte

Location: Abuja, AMAC - Nigeria
Website:
Facebook: Facebook Page
X / Twitter: Profile
Project Leader:
Ugbede-Ojo Dominic Kadiri
Abuja , AMAC Nigeria
$901 raised of $17,000 goal
 
3 donations
$16,099 to go
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