AdikaNathaniel/Capstone-Project

IoT wearable device + Flutter mobile app for remote monitoring of pregnant women in Ghana. Uses AI/ML to predict preeclampsia (97% accuracy) and anemia (93-98% accuracy) from real-time vitals. Built with ESP32-S3, NestJS, MongoDB & AWS. # Remote Monitoring of Pregnant Women in Ghana Using a Wearable Device and Mobile App > **Final Year Project** — Department of Computer Engineering, School of Engineering Sciences, University of Ghana, Legon. --- ## Table of Contents - Overview - The Problem - Our Solution - System Architecture - Hardware Components - Software & Technologies - AI/ML Models - Mobile App (Awopa) - Results & Accuracy - Project Structure - Team - Supervisors - Acknowledgements --- ## Overview Pregnancy-related complications remain a **major cause of maternal and infant mortality** in developing countries. In Ghana, about **12% of female deaths** (ages 15-49) over the past five years are attributed to pregnancy complications, with **62% of these deaths** resulting from delayed or inadequate medical intervention. This project delivers an **IoT-based wearable device** paired with a **mobile application** and **AI predictive models** to remotely monitor pregnant women's vital signs and predict complications like **preeclampsia** and **anemia** before they become life-threatening. ``` Wearable Device ──> Fog Computing (AI) ──> Cloud Server ──> Mobile App (Sensors) (Predictions) (Storage) (Alerts & Dashboard) ``` --- ## The Problem ``` WHY THIS MATTERS ┌─────────────────────────────────────────────────────────┐ │ 40% of pregnancies worldwide face health risks (WHO) │ │ 62% of maternal deaths in Ghana = delayed intervention │ │ 50%+ fatalities could be avoided with early detection │ └─────────────────────────────────────────────────────────┘ ``` Pregnant women in Ghana face barriers to regular antenatal care including: - **Long travel distances** to healthcare facilities - **High transportation costs** and consultation fees - **Limited availability** of diagnostic tools in rural hospitals - **Overburdened healthcare providers** with high patient-to-doctor ratios - **No digital alert systems** to warn of impending health risks --- ## Our Solution …