Artificial Intelligence and Data Science for Air Pollution Prediction and Visualization.

Developing AI models as well as visualization frameworks to predict and visualize air pollution in Los Angeles (various air pollutants such as PM2.5, NO2, O3, ...). In this project, we use various machine learning algorithms and visualization frameworks as well as advanced geographic information systems such as ArcGIS to visualize the results on the map. We will also develop web applications and mobile applications for the visualization framework. 

Technology: AI, Data Science, machine learning, predictive models, visualization frameworks, web, and mobile apps.