High-Level Project Summary
In this project we have built a desktop application which is used to predict solar wind by using AI model.first we have collected the dataset from resource section of the challenge. then we build AI model and train with it dataset. At last we integrate the model in out Application to do the predication.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
What exactly does it do?
our model takes input data and predict the solar wind. it displays the result in the result section.
How does it work?
It works by using the advantage of machine learning algorithm. in this application we have used regression algorithm to find the value of solar wind.
What benefits does it have?
it provide better prediction for the future high solar wind which may lead to Carrington event or other impact.
What do you hope to achieve?
by using application we can make better predication and also find the anomaly in the data .
What tools, coding languages, hardware, or software did you use to develop your project?
Tools used are :
- visual studio code (for coding purpose)
- pyqt designer (for designing the UI)
- Ipython notebook (for implementing the model)
- virtualenv (for creating python virtualenv)
coding language used are :
- python3 (standard python language)
packages used :
- pandas (for data operation)
- spacepy (for reading cdf file)
- numpy (for array and vector operation)
- cdflib (for reading cdf file)
- scikit-learn (for making machine learning model)
- picckle (for saving the model)
- Pyside2 (for makeng desktop application)
Space Agency Data
- NASA datasets
Hackathon Journey
The overall process, i learned a lot of stuff that i ever imagined. first when i was introduced with challenge ; i was really confused and inspired at same time. to develop the project our team did the brain storming to figure out the best possible solution. At the end we come to know that machine learning model can solve this problem more effectively.
the main inspiration is the problem itself and connection between earth and sun. This problem also give some responsibility as human being to solve the big problem.
in the process of developing this project we come to a biggest problem was setting up the environment for the data file and spacepy python package and also CDF file conversion to other formate. At the end we solved that problem with internet research and from problem discord channel.
first of all , I would like to thank my project team ,NASO , NASA for making this project real. i also like to thank Michael Stevens for providing the helpful guide in discord.
References
Tags
#AI ,#machine learning,#solar wind,#python3