The Problem:
After the first typhoon that hit the Philippines for this year, Typhoon Vongfong (Ambo, as it is locally known) caused an estimated ₱185M damage in agriculture, thousands of families affected are left with no choice but to stay in crowded evacuation areas, which could drastically increase the potential for exposure to COVID-19.
The Solution:
We wanted a solution that would help LGU's and Government Agencies to better prepare for the problems posed by the upcoming typhoon season of the Philippines, and help make informed decisions based on weather data and level of COVID-19 infections in different parts of the country.
We did this by creating a map platform that visualizes current and historical weather events, together with the local data for COVID-19 cases, which could allow government agencies and other organizations to find areas on direct path of upcoming typhoons and make a better plan on how to distribute people in evacuation areas while avoiding overcrowding and higher risks of potential exposures.
We spent a lot of time gathering datasets from JAXA, NASA, and Local Government and process all of the datasets into one API, making use of Accumulated Rain Data, weather data, etc.
Our tech stack comprised of the following:
Front end: ReactJS (TypeScript)
Backend: NodeJS (TypeScript)
Data Processing: Python & JavaScript