MATERNAL PREDICTIVE RISK ANALYSIS SYSTEM

The Maternal Predictive Risk Analysis System uses a Random Forest model to classify pregnancy risk based on eight clinical indicators, including blood pressure and glucose. Integrated with a Flask backend, the platform features a Care Hub for symptom tracking, medication reminders, and SOS alerts, bridging the gap between patients and clinicians. By centralizing longitudinal medical records and providing real-time risk notifications, the system shifts maternal care from reactive visits to a proactive, data-driven ecosystem. This lightweight solution improves early risk visibility and accelerates clinical response times to ensure safer outcomes for mothers and infants.

Keywords: Maternal health, Pregnancy risk prediction, Random Forest, Flask, Care coordination, Explainable AI, SOS alerts, Care Hub

 Maternal health Pregnancy risk prediction Random Forest Flask Care coordination Explainable AI SOS alerts Care Hub