High-Level Project Summary
First we have taken the existing NASA supported msn weather.com website which is used to forecast the weather , we have analyzed the data of hourly, day to day, monthly forecast. For that we have a solution to add a data analytic features for that website, i.e., we have an idea to add a data analytic feature of CLOUD BURST. A cloudburst is an extreme amount of precipitation in a short period of time, sometimes accompanied by hail and thunder, which is capable of creating flood conditions, Where it is used to predict the amount of rainfall based on the cloud weight and the capacity that it burst. So it is used to predict the amount of rainfall that can occur during cloud bursting phenomena.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
First of all we have taken the existing website of msn weather.com for that , we have an idea to develop to add solution to design the CLOUD BURST . It provides the agility to rapidly adjust and adapt to changing cloud capacity needs. To develop this feature we can use the coding languages such as python, numpy, pandas, matplot.lib. But here due to lack of time and complexity we have designed the documentation of our challenge's solution. Our solution has been mentioned and designed in the documentation and power point presentation demo.
Space Agency Data
I have used the existing website of msn weather.com which belongs to space agency and weather forecast. We have analyzed that data and used in our project and we have provided the solution as in the form of documentation of adding the data analytic feature i.e., CLOUD BURST to that msn weather website.
Hackathon Journey
We had a great experience by this space apps, By the taking up the challenges, we have learned and analyzed many features to develop and design and also we have studied the data. As our opted challenge is EARTH DATA ANALYSIS DEVELOPERS , in this the website and the data regarding the earth and space has inspired us more to opt this challenge.
References
https://www.msn.com/en-in/weather
we have taken this website as the reference, but we didn't used any data from that website. We just analyzed and we found an data analytic feature that can be added to that website.
Tags
#Weather