High-Level Project Summary
The ILLARI team developed an application in which the objective of its functions is to provide information in real time through a map where it can search for areas of plastic waste closest to the user, in this way artificial intelligence provides information much faster and at the same time in which he mobilizes to carry out his activities and that is not all, the user will be able to create a blog of his trip and his support actions with the information provided falling into a large database that he and many more users will be able to use them so that each place visited is always updating information with photographs, summaries, notes and everything that the user wishes to share.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
DESCRIPTION
In our project, we seek to encourage users of any gender and of any age. The characteristics of our project have an interactive, dynamic, and simple design. Its work tools are simple steps, clear and detailed procedures, and with a greater focus on the information provided by the application in real time, which is what characterizes us because we show areas of plastic waste contamination. It works in the usual way of any application, starting with user registration and activating its location, which is synchronized with the application, and through the map, it shows the closest areas where plastic waste is located where you can visit and do your corresponding activities. Giving you something as important as the information on the location of these wastes and easily accessible since generally, this information has extensive and somewhat difficult permitting processes, in addition to creating a log of your journeys on the journey to your destination. with evidence their work. We all want to be able to encourage not only the general public but also state organizations that is a matter of caring for our earth and the planet, and that we can start with something as important as plastic waste. The tools for creating this application were "App Inventor" to program the application, Block Languages, "Weka Explorer" to do the data tests, "Wondershare Filmora" and "PowToon" for video editing, "Figma" for prototyping design and demo design.
How we have developed this project
Step 1: Sign in or register
In this step the user must register or log in. To register you will need to enter your important information such as first and last name, as well as a nickname and a profile photo to personalize your account.
Before logging in, the application will ask you to accept the terms and conditions, the most important of which are to show the location and use the gallery to upload or download photos.
Image: Screenshot of this project.
Step 2: Search for plastics
In this step, the system will search for the closest area with plastic waste, showing the user and giving them the choice of the space to be cleaned. The system works from the random forest algorithm, applying a regression. In such a way that it classifies plastics with the data from the "marine geoscience data system" thus giving a result of classifying plastics according to their location (latitude and longitude).
Image: Screenshot of this project.
Step 3: Leave a mark
In this step, it is intended that the user can register their cleaning, showing said cleaning to the public as a personal milestone on their profile.
The user can work independently or belong to an NGO or volunteer group, allowing the group members to be tagged. Likewise, there is also the option of adding a phrase to motivate the team, in addition, photos must be added as evidence of the achievements.
The name of the team, the phrase, the participants and the photos will be published in the plastics search history.
Image: Screenshot of this project.
Space Agency Data
DATA OF THE SPACE AGENCY
We used theoretical references from articles that used information from NASA [1] and ESA [2]. As well as the open data from Marine Geoscience Data System (MGDS) [3].
[1] https://earthdata.nasa.gov/learn/discipline/ocean
[2] https://scihub.copernicus.eu
[3] https://www.marine-geo.org/tools/search/Files.php?data_set_uid=21255
Hackathon Journey
Hackathon Journey
From the beginning of the hackathon, it was pleasant to form a multidisciplinary team for the challenge, during the hackathon some left and others joined the team, each of us had different ideas and we adapted it to a solution. It was impressive to know more about NASA, from the mentors who helped us, they expanded our knowledge by explaining topics and experiences in NASA. NASA resources were important to us, since with that information we were able to obtain data. ideas for the proposed solution. Therefore, the experience was productive, good personal and professional networking.
During this hackathon we learned about the latest satellite technologies, image processing, available data that we can use in our investigations, on the other hand it allowed us to reinforce our knowledge in software engineering, project development and artificial intelligence.
As we know, marine debris is a threat to the biological system of the sea, or to health in coastal areas. What we seek is to detect the areas of plastic waste to provide such information to groups of volunteers and that together we can take advantage of these areas to reuse these materials and safeguard marine life.
Our approach was to help volunteers cleaning the sea with information on mapped areas with a higher concentration of plastic waste than others, recommendations, a discussion forum where they can mark their milestones and post photos of their volunteering. It is intended to facilitate the cleaning of the sea from satellite images thanks to the information from the Aqua and Sentinel satellites.
We previously analyzed the processes with debates and readings on the reports and studies in the field that we had to solve. We knew how to use our time well with respect to work and derive responsibilities that resembled our abilities. Thanks to good communication, it also facilitated teamwork and consultation among ourselves.
We appreciate the guidance of the NASA Space App Challenge mentors who with their experiences have given us a much broader perspective for our project.
References
References
Bates, S. (Jun 25, 2021). Scientists Use NASA Satellite Data to Track Ocean Microplastics From Space. Jun 28, 2021, de NASA. Sitio web: https://www.nasa.gov/feature/esnt2021/scientists-use-nasa-satellite-data-to-track-ocean-microplastics-from-space
Feldman, G. C. (2014). Inherent Optical Properties (IOPs). oceancolor. Sitio web: https://oceancolor.gsfc.nasa.gov/atbd/giop/
Guertin, S. (19 de Sep de 2019). Marine Debris Impacts.Office of Congressional and Legislative Affairs. Sitio web: https://www.doi.gov/ocl/marine-debris-impacts
Marine Debris Program. (29 de Sep de 2021). How to Help. Sitio web: https://marinedebris.noaa.gov/discover-marine-debris/how-help
Marine Geoscience Data System. (2014). Pacific_Law EnvironmentalDebris.Sitio web: https://www.marine-geo.org/tools/search/Files.php?data_set_uid=21255#referencesinfo
United States Enveironmental Proteccion Agency. (10 de may de 2021).Toxicological Threats of Plastic. Sitio web: https://www.epa.gov/trash-free-waters/toxicological-threats-plastic
Kirkby, R., & Frank, E. (2002). WEKA Explorer User Guide for Version 3-4. University of Weikato, 3-4.
Fernández y Fernández, C. A., & Cruz Ramírez, N. (2011). Apuntes para un aprendiz de programador: App Inventor, programación en dispositivos móviles al alcance de todos. Repositorio Nacional CONACYT.
Liaw, A., & Wiener, M. (2002). Classification and regression by randomForest. R news, 2(3), 18-22.
Tags
#ArtificialIntelligence #space #astronomy #universe #astrophotography #solarsystem #ocean #peru #lima #puno #Junin #ILLARI #WithoutScienceThereIsNoFuture #NASA #SpaceApps #UNMSM #UNFV #URP #UNIVERSIDAD_CONTINENTAL #plasticwaste
Global Judging
This project has been submitted for consideration during the Judging process.