Demonstration Projects
AI Cough Analyzer
This tool helps you check your cough and get useful insights about your respiratory health. It listens to your cough, identifies the types (like dry, wet, or whooping), and gives an idea of how serious it might be. It can also help point to possible underlying conditions - including asthma, diphtheria, bronchitis or pneumonia.
A demonstration project by Africa Hub For Innovation and Development (AHFID)
AI Powered GBV Prevention Tool
This AI Powered Tool estimates the probability that an individual presenting at a service delivery point exhibits a vulnerability profile statistically similar to prior confirmed GBV cases, based solely on intake-level, pre-incident data.
A demonstration project by Africa Hub For Innovation and Development (AHFID)
AcetoWhite Vision AI
This application is a low-cost smartphone-powered tool that integrates seamlessly into primary healthcare workflows and can be used without specialist training for cervical cancer screening, delivering real-time, reliable, and objective results
Using advanced computer vision and machine learning, AcetoWhite Vision AI analyzes cervical images captured via smartphone to eliminate the subjectivity of traditional Visual Inspection with Acetic Acid (VIA). The result: consistent, accurate, and explainable outcomes that enhance diagnostic confidence.
A demonstration project by Africa Hub For Innovation and Development (AHFID)
Gamsuwa - A HIV Prediction Tool
This tool forecasts the likelihood of contracting or progressing in HIV while analyzing the multiple risk factors to support healthcare providers and researchers. it enables and supports data-driven decision-making processes whe redering care for HIV patients.
A demonstration project by Africa Hub For Innovation and Development (AHFID)
AI- Powered GBV Prediction Model
The AI-Powered GBV Vulnerability Prediction Model leverages machine learning to identify patterns and risk factors linked to GBV. By analyzing demographic, social, and contextual data, it provides data-driven insights that support proactive prevention and targeted interventions.
Designed for organizations, policymakers, and service providers, the model enables evidence-based decision-making, efficient resource allocation, and a measurable approach to reducing GBV vulnerability.
A demonstration project by Africa Hub For Innovation and Development (AHFID)
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