Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for WeatherWatch
We were inspired by the Japan 2011 tsunami and we realized that so many lives could have been saved if people were properly warned and so we wanted to create a weather app that predicts disasters by using past data and weird occurrences from the weather to predict when and where disaster may strike. We used machine learning to predict information that we fetched from the APIS for the upcoming weather. We used Flask as our framework for our backend development language while we used python for the rest of our backend development. Some libraries we used included the sklearn, requests, and pandas. The front-end development was made with HTML and CSS. Some challenges we faced was with the import statements because while we had flask and pandas and requests imported into our computer using Linux, it still not would recognize it in our system so we had to restart several times and redownload Flask and requests. Some accomplishments is that we're proud of is using machine learning for the first time in our college careers and making it work. Some things we learned was how to use pandas and HTML and CSS while making it work. Perhaps next for WeatherWatch, we will focus on making it an SMS notification system for the people in the relevant area.
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