AI-Powered Air Quality Forecasting
Advanced agentic AI system delivering accurate, real-time air quality predictions to support climate-resilient urban planning in JABODETABEK region.
Advanced agentic AI system delivering accurate, real-time air quality predictions to support climate-resilient urban planning in JABODETABEK region.
Comprehensive AI-driven air quality monitoring and prediction
Automatically gathers and processes data from diverse sources like Google Earth Engine and IQAir, ensuring reliable foundation for analysis.
Advanced Long Short-Term Memory neural networks provide high-accuracy AQI forecasts up to 72 hours in advance.
AI explanation agent translates complex data into clear, actionable reports for policymakers and the public.
Real-time air quality visualization across the Greater Jakarta area
Advanced multi-agent AI system designed for environmental monitoring and air quality forecasting in the JABODETABEK metropolitan area.
AQI-Agent represents a breakthrough in environmental monitoring technology, combining cutting-edge machine learning with real-time data processing to deliver unprecedented accuracy in air quality forecasting for urban planning and public health protection.
This project is an entry for the European Universities' Competition on Artificial Intelligence, focused on AI and Climate Change Solutions. Our mission is to leverage agentic AI to provide an autonomous, explainable, and scalable solution for air quality forecasting.
By focusing on the JABODETABEK region, we aim to create a powerful tool that can aid urban planning and improve public health outcomes in one of the world's most dynamic urban areas.
AI for Environmental Impact
JABODETABEK Focus
Community Wellbeing
Contributing to the advancement of AI applications in environmental monitoring and climate change mitigation.