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.
Automated Detection Hazard Hazard
Summary
This project is all about the detection of the hazard. In this, I was using the Deep Learning process to Predict the fire in the forest right now. If we were given more time and space we would be working on the flood and rain and many more things would be there to predict the hazard caused to us.
How We Addressed This Challenge
As this project could help many people for the process on the run. When Amazon forest was burning people were not so much consered about that but when if ended the forest on a long run everyone was like we were in caused of hazard.
How We Developed This Project
As my team was inspired because we have seen the burning of amazon forest from a detailed point of view. So we dont want another incident like this. I have used deep learning techology with using tensorflow and keras on it to detect the fire in the system.
How We Used Space Agency Data in This Project
I have taken many dataset filled with fire and non fire as it would detect there is fire or not.
Project Demo
https://github.com/RishavMishraRM/Automated_Detection_Hazards/blob/master/HAZARD.pdf
Data & Resources
I have taken data from kaggle in jpg format
Tags
#fire
Judging
This project was submitted for consideration during the Space Apps Judging process.