NGU

Colima, Colima | Leveraging AI/ML for plastic marine debris

Leveraging AI/ML for plastic marine debris

High-Level Project Summary

Classification and organization of data on maritime pollution and plastic waste, developed with AI and ML together with Data Science.

Link to Project "Demo"

https://youtu.be/bXtIv_alFYc

Link to Final Project

https://github.com/AngelAguilar16/Space-Apps-Challenge

Detailed Project Description

Our application is mainly based on the classification and organization of marine pollution and plastic waste data, developed with AI and ML together with Data Science.

This with tools such as Azure AI, geographic data API's, marine pollution data around the globe and programming languages such as Python, Java, HTML5.


The application supports in the representation of data about pollution along with multiple ideas and support alternatives to eventually decrease the percentage of waste.

Space Agency Data

Hackathon Journey

This project was very enriching in many ways for us, we were learning and practicing incredible things and we openly believe in the scale to which our project can reach, we like to thank each other for being a team.

Our experience in this hackathon was good, since we are students of the technological area and that allowed us to apply our knowledge at a certain time and in another area of ​​great impact in the world. We chose this topic because the world is currently experiencing a great problem, the COVID-19 pandemic, the second biggest problem we are going through is pollution that brings great climate changes affecting everyone in the long and short term.

We argue that the problem had a global chain of impact where the government and NGOs are interveners for its solution and people are the root of the problem and solution. For this reason we decided to provide Machine Learning and AI tools for the prediction and interpretation of data provided by NOOA, focused on governments and NGOs, providing ease of use with mobile and web applications to visualize development over time and thus know the possible solutions and ways of working in other countries.

References

Tags

#ai, #ml, #debris, #ocean

Global Judging

This project has been submitted for consideration during the Judging process.

Leveraging AI/ML for plastic marine debris

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.