AI Models at AirQo
At AirQo, we leverage cutting-edge AI to revolutionize air quality monitoring across African cities. Explore our innovative models driving real-time insights, predictive analytics, and community empowerment.
Our AI-Powered Tools
AirQalibrate
AirQalibrate is a Machine Learning based calibration tool that eliminates the need for reference-grade monitors or on-site monitor calibration.
Fault Detection
Uses the Isolation Forest model to detect anomalies in sensor devices, identifying issues like electromagnetic interference or dust accumulation.
Air Quality Forecast
Predicts future air quality levels to inform individual and policy decisions, minimizing exposure to pollution.
Pollution Heatmap
Visualizes air pollution levels across regions, helping identify high-risk areas for targeted interventions.
PM2.5 Prediction
Leverages satellite data to predict PM2.5 concentrations, providing insights into fine particulate matter pollution.
Locate
Pinpoints air quality monitoring stations, enabling communities to access localized pollution data.
Stationary Pollution Source
Identifies pollution sources using satellite imagery and TensorFlow models, aiding in targeted mitigation strategies.
Future Works
Chatbot
An AI-powered chatbot to provide real-time air quality information and answer user queries interactively.
Filling Missing Data
Advanced algorithms to impute missing air quality data, ensuring continuous and reliable monitoring.
Land Use Model
Analyzes land use patterns to understand their impact on air quality, supporting urban planning and policy.