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Artificial Intelligence and Data Science for Air Pollution Prediction and Visualization
Sponsored by NASA & LA City
Alejandro Alatorre, Emmanuel Cocom, Hector Rucobo, Aldo Ruiz Cruz, Vidal Zazueta
Advisor: Mohammad Pourhomayoun

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

Developing AI models, visualization frameworks, web application, and mobile app to understand 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 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.

 

Team Roles

Role Name Contact
Faculty Advisor Mohammad Pourhomayoun mpourho@calstatela.edu
Project Lead Hector Rucobo hrucobo@calstatela.edu
Design/Development Lead Alejandro Alatorre aalator7@calstatela.edu
Documentation Lead Emmanuel Cocom ecocom@calstatela.edu
Demo/Presentation Lead Aldo Ruiz Cruz aruizcr@calstatela.edu
QA/QC Lead Vidal Zazueta vzazuet@calstatela.edu

Meetings

Tuesday 9pm - 10pm, Friday 10:30am - 11:30am

Resources
SDD (Fall)
SRS (Fall)
Powerpoint Presentation (Fall)
Presentation Poster
Video Presentation
Final Powerpoint Presentation
Project Report
SDD (Spring)
SRS (Spring)
[Private Resource] Website Source Code
[Private Resource] Mobile Source Code