Artificial Intelligence and Data Science for Air Pollution Prediction and Visualization
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
Student Team
- Alejandro Alatorre
- Emmanuel Cocom
- Hector Rucobo
- Aldo Ruiz Cruz
- Vidal Zazueta