High-Level Project Summary
Our main objective is to develop a machine learningalgorithm or neural network pipeline for the DSCOVRspacecraft's instrument to track and follow the changesin the peak solar wind speed so that DSCOVR cancontinue to provide early warnings of the next potentialCarrington like event that could adversely impact lifeand property on Earth.We have developed the machine learning algorithm using recurrent neural network and neural networks. we have developed this project to train and test the machine, we have used the datasets from Nasa space app website and Kaggle to develop the project .It is solving the problem by predicting the output and accuracy of data.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
we have used machine learning and python programming language and we have used the linear regression model to train the data . we have even used many libraries such as matplotlib, pandas, numpy , keras,tensor flow etc to develop the code. we have used i5 processor , 8 gb ram laptop.
Space Agency Data
Hackathon Journey
it was a wonderful journey , we had gain lots of experience and have learnt many things. apart from this we got a good knowledge of space and science. my challenge was 'SAVE THE EARTH FROM ANOTHER CARRINGTON EVENT' we have took this project because we find it very much interesting and challenging. My team has did lots of work and faced the difficulties together.
it was a great experience as well as an great event conducted by NASA SPACE APP INDIA (SUMVN).\
References
Tags
#carrington #hackathon #ml #teamwork