Project Details

The Challenge | Show the World the Data!

NASA’s open data sources hold an abundance of imagery. Mapping that imagery to a digital globe makes the data interactive and may enable people to discover relationships among ecosystem phenomena. Your challenge is to develop a digital globe web-app that visualizes Earth science data using NASA’s Web WorldWind.

Taiwan newAQI Visualizer

Used neural network to generate new AQI using Air Quality and disease statistics from Taiwan Open Data. And make a easy understanding interface for citizen.

Taiwan newAQI Visualizer

Team: The Jaws of Death

from: 2019 NASA Hackthon

web github: https://github.com/nasa2019/new-aqi

data engineering github: https://github.com/nasa2019/data_engineering

簡報 in google drive: https://drive.google.com/file/d/1Kw-3B90rw6piVxEB7...

Demo: http://ec2-52-42-97-221.us-west-2.compute.amazonaws.com/

User Story

* As a user of citizen who care air quality for disease.

* I want to know the index of air quality for specific disease.

* So that we use machine learning to generate a index for specific disease accurately and used NASA's web WorldWind api to visualize clearly.

工作項目

data engineering

1. 資料蒐集、清洗

2. 建構神經網路(DNN or LSTM)

3. 建置API(gRCP)

front-end

1. Mockup 版面設計

2. 圖表設計

3. 特效設計

back-end

1. AWS EC2 環境架設

2. Web WorldWind api 研究使用

3. api 串接