Clean Air Patrol: AI to Predict and Protect Against Pollution

inAI & Emerging Technologies

Background

This project allows students to engage with a pressing community issue: air quality management. Students will harness artificial intelligence (AI) to forecast air quality based on environmental data, such as weather conditions and pollutant levels. This AI-powered prediction tool will enable communities to better prepare for and mitigate poor air quality conditions, reducing health risks and informing public policy decisions. 

Learning Outcome (LO)

  • LO #1: Understanding AI in Environmental Forecasting 
    Learn how AI models, particularly regression and classification techniques, can be applied to analyze environmental factors and predict air quality.
  • LO #2: Environmental Data Analysis Skills
    Develop expertise in collecting, processing, and visualizing large-scale environmental data, including pollutant levels and weather conditions, to identify trends impacting air quality.
  • LO #3: Public Health and Policy Insights 
    Gain insights into the impact of pollutants on community health and understand how proactive air quality management can inform and support effective policymaking.

What is on offer?

  • 1-on-1 sessions with Ph.D. Scholars
  • Supervision and Guidance from Global Faculty
  • Assistance in Publishing Research
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