High-Level Project Summary
Depending on the dataset(s) used we thought that the best way tosolve this challenge as computer science engineers is to build amachine/ deep learning model based on the critical info in thedatasets we could predict the locations where damage will becaused, the period of occurrence, the probability of occurrence beforeserious damage could happen.And based on those predictions we could find an effective way tosave our earth by suggesting that on this date we all have to turn offthe power or build a shield to save us.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Our team decided to build a machine/deep learning model to predict the
Carrington event and its power via collecting dataset(s) related to the solar
magnetic field. data are fed into a machine learning model to calculate the
three-dimensional field above the surface using equations to describe the
behaviour of the electrons, ions, neutral particles, etc.
Deep learning is built on the idea of Neural Networks and how it
works as we could consider them as hidden layers that return us
output from the input without actually knowing the phases of this
output, we thought this approach will help us solve this challenge.
Value Proposition:
Thought to have the priority as we can offer several machine/ deep
learning models based on several techniques and choose the best
mode with the best accuracy, Offering All information needed to save
our planet earth.
As, each one in our team has a previous experience with machine
learning, deep learning, and Ai.
Resources:
● Software: Google Colab
● Data: will use data provided by NASA or collect data if needed
● References:
- C. J. Schrijver, Socio-economic hazards and impacts of space weather:
The important range between mild and extreme. Space Weather 13,
524–528 (2015).
- J. Zhang, K. P. Dere, Statistical study of main and residual accelerations
of coronal mass ejections. Astrophys. J. 649, 1100–1109 (2006).
- B. T. Welsch, Flux accretion and coronal mass ejection dynamics. Sol.
Phys. 293, 113 (2018).
- A physics-based method that can predict imminent large solar flares |
Science last access 23th Sep 2022
Space Agency Data
Hackathon Journey
we have learned a lot about the science of space weather considering the CME and Solar events,