Title: AI-powered early detection system for communicable respiratory diseases based on integrated data sets

Host Institution: University of Witwatersrand, South Africa

Objectives: South Africa faces worsening air pollution due to industrial activity and climate change. The integration of AI in air quality monitoring enables researchers, businesses, and policymakers to track pollution sources, analyze trends, and implement mitigation strategies. This advancement is crucial for public health, reducing exposure to harmful pollutants and improving environmental policies.

OutComes: AI-powered air quality sensors deployed

The South African Consortium of Air Quality Monitoring (SACAQM) has developed and deployed AI-powered air quality monitoring sensors. This advanced AI_r technology is providing real-time air quality insights. Please visit https://www.sacaqm.org/projects.

Contribution: The project developed and deployed AI_r sensors that combine IoT technology with AI-powered analysis. Thirty (30) of these cost-effective, cutting-edge devices have been monitoring air quality in and around Johannesburg, since 2023, and 120 more are underway in strategic locations across Gauteng province in 2025, offering a scalable approach to air quality monitoring. Through partnerships, the project is ensuring that the data reaches relevant stakeholders, supporting data-driven decision-making for environmental health.

Description: Local data generated is used to inform the development and deployment of responsible social and technological innovations.