Predictive Modules

AI Prediction Systems

Four specialized machine learning modules deployed to predict, prevent, and address Sindh's most critical health challenges.

IMR Prediction

Infant Mortality Rate Predictor

Machine learning models forecast infant mortality risk from district to facility levels across Sindh. Identifies high-risk areas and vulnerable newborns for timely intervention.

Model Accuracy
87%
18.5% high-risk districts identified · all 30 districts covered
MMR Prediction

Maternal Mortality Rate Predictor

Leverages machine learning to forecast maternal mortality risks across Sindh, identifying vulnerable women and high-risk areas for targeted support and early intervention.

Model Accuracy
90%+
District-wise & facility-wise prediction levels
LHW Performance

Lady Health Worker Performance Predictor

Comprehensive insights into LHW profiles, activity status, and supply management — empowering data-driven decisions for stronger primary healthcare delivery.

Active LHWs
78.2%
85% overall compliance · District & facility-wise prediction
General Prediction System

GPS

General Prediction System — a unified AI platform for images and numerical data. No coding, no preprocessing required. Just upload and predict across diverse domains.

Task Coverage
Versatile
Classification · Regression · Clustering · Forecasting