Data Sniffers - Space Apps Challenge

Data Sniffers| To Bloom or Not to Bloom

Project Details

The Challenge | To Bloom or Not to Bloom

Your challenge is to solve the mystery behind algal blooms! What factors cause blooms in some water bodies but not others, and how can we better predict their occurrence to prevent harm to aquatic and human life?

Accu Water

Our application AccuWater can predict the quality of water and determine the safety score to decide whether to take pets for a water play or not. Our aim is to arm common people with necessary information to save themselves and pets from algal poisoning.

Background:

We, team- Data Sniffers, a group of Data Science graduates students at UW. We attempt to predict algal blooms and prevent harm to aquatic and human lives. We propose a solution to this challenge- AccuWater. Just like checking AccuWeather for rain/precipitation, end-users can check if it’s safe to take their pets to the surrounding water bodies for water play! Our aim is to arm common people with information necessary to save themselves from algal poisoning. Our mission is Bringing Infrared data from MODIS satellites onto people’s fingertips.

We have built a demo of an application which predicts water safety and algal bloom using machine learning techniques on NASA data. Through a simple interface, we provide users data at a glance. You can see the color coded safety score, along with some of the key parameters we identified such as water, temperature and turbidity. Using machine learning, we predicted data for future days, and have color coded our results safety scores too. The safety score would be a one number summary based on every parameters. From tourists to pet owners, we all need some AccuWater in our lives to stay safe.

Challenges:

"To bloom or not to bloom” under the 'Living in the world' web. Here, we attempt to figure out how to predict algal blooms to prevent harm to aquatic and human life.

Resources: