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Artificial Intelligence and Data Science for Air Pollution Prediction and Visualization
Sponsored by NASA and LA City
Eric Chan, Micky Chan, Peter Gatsby, Larry Gutierrez, Jose Landa
Advisor: Mohammad Pourhomayoun

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.

 

 

  

 

 

 

Resources
SDD Document
SRS Document
Powerpoint Presentation
[Private Resource] Web Application Source Code
Project Report
[Private Resource] Mobile Application Source Code
SRS Document FINAL
SDD Document FINAL