Awards & Nominations
Utopia has received the following awards and nominations. Way to go!
Utopia has received the following awards and nominations. Way to go!
According to the UN report unsafe water is the cause of 3.1 % of all deaths worldwide and the 4 billion cases of diarrheas each year which result in death of half a million children each year. Water contamination, also, affect the climate change and the environment dangerously, the help of locating and studying the polluted water lands through the examination of the difference of O3 that is more likely to be emitted around water lands and its relation to the increase of the water vapor thickness and the evaporating rate of water lands using the data base and algorithms from NASA and AI to design a useful application that can significantly limit the issue.
Our project surely focuses on this point, we worked on analyzing the data to provide the necessary context to the issue,a must needed exploration and relating to the data in the eye of scientific background, understanding the relationship between the attributes and viewing the data correlation for this specific dataset after analyzing using tools such as R language we presented our founding in a web format having a dashboard of the specific location each with it significant impact on the environment based on a score we developed from our data analysis, we created also a tab where agencies and specialists from trips and members of the society can participate in the web site to report a location to rises awareness and making the community part of the solution.
Our solution not only manipulate and Visualize the existing dataset but also enrich the database with a new record of data.
Providing a dynamic solution that all the students of the community can benfit from.
We that we hope to expand the solution with much higher level analysis where we can spot even locations that could be in danger and resolve it before it becomes an issue.
We used the open source data from NASA that helped us find a connection between multiple variables such as the greenhouse gases and pollution, the water vapor, the evaporating rate of water lands. And it is all connected to the theory we proposed that it makes us acknowledge and analyse the pollution of the water lands through the data examination. MODIS serves an abundance of data regarding the water vapor, TEMPO gives data on the acidic water pollution and the greenhouse gases in the air.
https://search.earthdata.nasa.gov/search?q=MODIS&ff=Map%20Imagery&fp=AQUA
We benefited greatly from the collaboration with each other in the team and researching the open date base.
Working with a dynamic team were we had members from different technical backgrounds sure did help us with
expanding our knowledge and sharing past experience.
https://search.earthdata.nasa.gov/search?q=MODIS&ff=Map%20I magery&fp=AQUA
https://www-air.larc.nasa.gov/missions/owlets/docs/OwletsSlides.pdf
https://lpdaac.usgs.gov/documents/973/MOD28_ATBD_V1.pdf
https://earthdata.nasa.gov/learn/pathfinders/greenhouse-gases
https://lweb.cfa.harvard.edu/atmosphere/publications/TEMPO- FactSheet.pdf
https://www.nasa.gov/topics/earth/features/vapor_warming.html
https://drive.google.com/file/d/1Bj91CDxkOMg5WplxiSahvU7nxxDfG_zJ/view?usp=drivesdk
#Utopia #OceanPurity #Al #ML #marine
This project has been submitted for consideration during the Judging process.
Marine debris is one of the most pervasive threats to the health of coastal areas, oceans, and waterways. Your challenge is to leverage Artificial Intelligence/Machine Learning to monitor, detect, and quantify plastic pollution and increase our understanding about using these techniques for this purpose.

