Automated Detection of Hazards
Countless phenomena such as floods, fires, and algae blooms routinely impact ecosystems, economies, and human safety. Your challenge is to use satellite data to create a machine learning model that detects a specific phenomenon and build an interface that not only displays the detected phenomenon, but also layers it alongside ancillary data to help researchers and decision-makers better understand its impacts and scope.
Survivor
Summary
Survivor is a platform, which helps to get a prediction about natural disasters like flood, wind, and so on. First, we will find out the real factors for the hazard and check how it will contribute the pre mentioned hazard.(For an example, we found rainfall is factor for flood and temperature less than 20 centigrade degrees is a non-major factor, we check both factors with last times and get the average of those factors. ) We use machine learning and artificial intelligence to get that prediction. In this platform, the user has the ability to check whether danger is for continent wise or country wise. We have given the ability to separate it according to the type of the hazard too.
How We Addressed This Challenge
Mainly we have identified there is a pre stage of the hazard which indicates the hazard is growing. We have develop a Machine-learning platform for it and the UI is looks like a website. We feed data sets of the relevant occasions, which related to hazard and before hazard. By using this platform, we can get a prediction before the hazard.. If the level of hazard is dangerous, the system shows what the precautions to be taken are.
How We Developed This Project
Both of us have faced many hazardous events in day today life. Because of that, we selected this topic.
How We Used Space Agency Data in This Project
We used those data in making new platform. By using those platforms, we get data sets, which needed in making Machine learning and Artificial Intelligence part.
Data & Resources
Tags
#artificialintelligence #machinelearning
Judging
This project was submitted for consideration during the Space Apps Judging process.