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Local Chapter project

Fighting Illegal Dumping in Mexico Through Building a Predictive Model

Machine LearningData VisualizationImage Recognition
Start date
October 10, 2021
Finish date
November 10, 2021
Project status
completed
Fighting Illegal Dumping in Mexico Through Building a Predictive Model

Challenge background

Environmental conservation has many different factors and in Mexico one of the most influential is the relationship with dumping sites and garbage collection. Many places in Mexico are severely affected illegally and some of them are regions of nature that must be protected.

Goal of the project

  • To identify and visualize in a map spatial patterns of existing TrashOut dumpsites.
  • To predict potential dumpsites using Machine Learning and visualize them with a heatmap.
  • To understand and describe patterns of existing dumpsites to prevent future potential illegal dumping(s) with an unsupervised model.

What you'll learn

1. How to use Google Earth Engine for further visualization and data modeling.

2. How to visualize certain regions in a map and create filtered visualizations.

3. How to create a heat map based on ML predictions.

4. How to describe unsupervised models applied to illegal dumpings.

5. How to train and deploy image recognition models.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.