The EO Dashboard is derived from a suite of different satellites from the EO observation (EO) programs of the three collaborating space agencies: NASA, ESA, and JAXA. Your challenge is to devise a way to visually fuse information from diverse Earth observation datasets of different missions.
Datonic, actively tracks zones like Restaurants, Marketplaces, Parks and Landfills to inform you about plastic waste in a map using API signals from EO.Is it just that?, No of course not.What if the pattern of usage of travel and population are corelated to form a graph in order to predict the population density change for further few days? Using Machine Learning Algorithm and Generational Analysis in the chart, our Artificial Intelligence estimates that too.Datonic, is also an interactive platform for young learners to play and analyze the data for the world that is created for them, through simulations and help them analyze the data in virtual world.
Datonic firstly is divided into Datonic Pro and Datonic Sim.
Datonic Professional unlike other data representation applications; is a web application that analyzes real world data and presents it in the forms of CSG(Constructive Solid Geometry), 2d graphs and Mobius Strip graph along with the heat map zone for Air Quality and Control, Plastic Waste and Landfill as well as predicting them for future using smart Machine Learning and Generational Algorithm in our integrated AI.
Datonic Simulation is another part of it mainly designed for young curious minds in order to analyze virtual world data where they can play with it.
Foremost of all, our plastic region location center helps users to locate plastic polluted and landfill regions, which can come in handy for multitude of reasons. similarly using generational analysis to predict weather and population with transportation, we can accurately predict the phenomena in coming future
It works on the basis of our optimized algorithm to predict and analyze data as well represent it in clear forms like CSG 3d Mobius Strip model, heat zone maps and 2d graphs for sure.
All we hope to achieve is to make a world a better place by this tiny effort standing on the giants of International Space Agencies like NASA EO, ESSA and JAXA, whose genius mind have contributed for the entire world and a 16 year old in rural Nepali village can learn and solve problems from it too.
Our team was inspired by the idea of where pizza boxes go to when we had a meeting at friend's house regarding the hackathon, and we figured out that boxes like these fill up the land and do not get recycled most of the times, they get dumped into land and defile the soil and occupy the space.
So, we thought about locating places like Pizza Delis, Cafes, Restaurants and other likely places with plastic waste so that we could estimate, using the API Integration to locate and zone out plastic areas.
Then, our ideas got bigger and bigger. What if we use AI to predict it for future? We did it! What if we do the same with Air Quality and Control as taken from EO Dashboard API? We did it! What if we use the transportation and internet use API to do it for the predicting communication and transportation channels? We did it!
We also represented it in CSG form and 3d Mobius Strip Representation which is quite peculiar in the field of data analysis.
Then we thought about people like us, genuinely curious youngsters.
Not everyone wants a Data Analysis Tool so vast. Some just like to learn.
So to teach from patterns, we used simulation in order to create random seed for Virtual World, here given as Planet "γ-88" whose data can be observed and played with by the users, learning about Chaos Theory and similar patterns that we repeatedly see on Weather and related data.
We used the space agency data in following ways:
-Use of Data representation API from EO Dashboard
-Use of Internet Use API
-Use of Air Quality API from NASA
https://drive.google.com/file/d/1dFcEMUKFBLgz4Eh6r5un6McI05uOeuwQ/view?usp=sharing
https://github.com/ayushrama/AayushAcharya-for-SpaceApps
https://github.com/AayushCurious/NASA-ESSA-JAXA-EO_Project
The data and resources used in the project come from:
https://eodashboard.org/
https://earthobservatory.nasa.gov/
#AI #MachineLearning #AirQuality #Maps #DataScience
This project has been submitted for consideration during the Judging process.